Overview

Dataset statistics

Number of variables142
Number of observations290202
Missing cells1864909
Missing cells (%)4.5%
Total size in memory314.4 MiB
Average record size in memory1.1 KiB

Variable types

Numeric112
Categorical30

Alerts

m1_mission_completed has constant value "3.0" Constant
m2_mission_completed has constant value "4.0" Constant
m3_mission_completed has constant value "5.0" Constant
m4_mission_completed has constant value "6.0" Constant
m5_mission_completed has constant value "7.0" Constant
m6_mission_completed has constant value "8.0" Constant
m7_mission_completed has constant value "9.0" Constant
m8_mission_completed has constant value "10.0" Constant
m9_mission_completed has constant value "11.0" Constant
m10_mission_completed has constant value "12" Constant
m1_mission_id has a high cardinality: 151 distinct values High cardinality
m1_geo_country has a high cardinality: 218 distinct values High cardinality
m1_event_timestamp has a high cardinality: 270320 distinct values High cardinality
m2_mission_id has a high cardinality: 153 distinct values High cardinality
m2_geo_country has a high cardinality: 217 distinct values High cardinality
m2_event_timestamp has a high cardinality: 271135 distinct values High cardinality
m3_mission_id has a high cardinality: 157 distinct values High cardinality
m3_geo_country has a high cardinality: 219 distinct values High cardinality
m3_event_timestamp has a high cardinality: 272031 distinct values High cardinality
m4_mission_id has a high cardinality: 149 distinct values High cardinality
m4_geo_country has a high cardinality: 219 distinct values High cardinality
m4_event_timestamp has a high cardinality: 273533 distinct values High cardinality
m5_mission_id has a high cardinality: 146 distinct values High cardinality
m5_geo_country has a high cardinality: 218 distinct values High cardinality
m5_event_timestamp has a high cardinality: 275016 distinct values High cardinality
m6_mission_id has a high cardinality: 141 distinct values High cardinality
m6_geo_country has a high cardinality: 219 distinct values High cardinality
m6_event_timestamp has a high cardinality: 276801 distinct values High cardinality
m7_mission_id has a high cardinality: 152 distinct values High cardinality
m7_geo_country has a high cardinality: 219 distinct values High cardinality
m8_event_timestamp has a high cardinality: 278920 distinct values High cardinality
m8_mission_id has a high cardinality: 148 distinct values High cardinality
m8_geo_country has a high cardinality: 220 distinct values High cardinality
m8_event_timestamp_1 has a high cardinality: 281076 distinct values High cardinality
m9_mission_id has a high cardinality: 157 distinct values High cardinality
m9_geo_country has a high cardinality: 220 distinct values High cardinality
m9_event_timestamp has a high cardinality: 284181 distinct values High cardinality
m10_mission_id has a high cardinality: 184 distinct values High cardinality
m10_geo_country has a high cardinality: 220 distinct values High cardinality
m10_event_timestamp has a high cardinality: 290184 distinct values High cardinality
m1_mission_completed has 19853 (6.8%) missing values Missing
m1_mission_id has 19853 (6.8%) missing values Missing
m1_mission_difficulty has 19853 (6.8%) missing values Missing
m1_mission_stars_collected has 19853 (6.8%) missing values Missing
m1_day_auto_increment has 19854 (6.8%) missing values Missing
m1_lifetime_played_runs has 20658 (7.1%) missing values Missing
m1_max_run_distance has 20658 (7.1%) missing values Missing
m1_total_purchases_virtual has 20675 (7.1%) missing values Missing
m1_total_ads_watched has 20680 (7.1%) missing values Missing
m1_total_purchases_real has 20680 (7.1%) missing values Missing
m1_geo_country has 19995 (6.9%) missing values Missing
m1_days_played_in_month has 20659 (7.1%) missing values Missing
m1_virtual_currency_balance has 20658 (7.1%) missing values Missing
m1_event_timestamp has 19853 (6.8%) missing values Missing
m2_mission_completed has 19044 (6.6%) missing values Missing
m2_mission_id has 19044 (6.6%) missing values Missing
m2_mission_difficulty has 19044 (6.6%) missing values Missing
m2_mission_stars_collected has 19044 (6.6%) missing values Missing
m2_day_auto_increment has 19045 (6.6%) missing values Missing
m2_lifetime_played_runs has 19857 (6.8%) missing values Missing
m2_max_run_distance has 19857 (6.8%) missing values Missing
m2_total_purchases_virtual has 19870 (6.8%) missing values Missing
m2_total_ads_watched has 19877 (6.8%) missing values Missing
m2_total_purchases_real has 19877 (6.8%) missing values Missing
m2_geo_country has 19204 (6.6%) missing values Missing
m2_days_played_in_month has 19858 (6.8%) missing values Missing
m2_virtual_currency_balance has 19857 (6.8%) missing values Missing
m2_event_timestamp has 19044 (6.6%) missing values Missing
m3_mission_completed has 18156 (6.3%) missing values Missing
m3_mission_id has 18156 (6.3%) missing values Missing
m3_mission_difficulty has 18156 (6.3%) missing values Missing
m3_mission_stars_collected has 18156 (6.3%) missing values Missing
m3_day_auto_increment has 18157 (6.3%) missing values Missing
m3_lifetime_played_runs has 18975 (6.5%) missing values Missing
m3_max_run_distance has 18975 (6.5%) missing values Missing
m3_total_purchases_virtual has 18987 (6.5%) missing values Missing
m3_total_ads_watched has 18993 (6.5%) missing values Missing
m3_total_purchases_real has 18995 (6.5%) missing values Missing
m3_geo_country has 18338 (6.3%) missing values Missing
m3_days_played_in_month has 18976 (6.5%) missing values Missing
m3_virtual_currency_balance has 18975 (6.5%) missing values Missing
m3_event_timestamp has 18156 (6.3%) missing values Missing
m4_mission_completed has 16653 (5.7%) missing values Missing
m4_mission_id has 16653 (5.7%) missing values Missing
m4_mission_difficulty has 16653 (5.7%) missing values Missing
m4_mission_stars_collected has 16653 (5.7%) missing values Missing
m4_day_auto_increment has 16656 (5.7%) missing values Missing
m4_lifetime_played_runs has 17489 (6.0%) missing values Missing
m4_max_run_distance has 17489 (6.0%) missing values Missing
m4_total_purchases_virtual has 17500 (6.0%) missing values Missing
m4_total_ads_watched has 17501 (6.0%) missing values Missing
m4_total_purchases_real has 17506 (6.0%) missing values Missing
m4_geo_country has 16874 (5.8%) missing values Missing
m4_days_played_in_month has 17490 (6.0%) missing values Missing
m4_virtual_currency_balance has 17489 (6.0%) missing values Missing
m4_event_timestamp has 16653 (5.7%) missing values Missing
m5_mission_completed has 15171 (5.2%) missing values Missing
m5_mission_id has 15171 (5.2%) missing values Missing
m5_mission_difficulty has 15171 (5.2%) missing values Missing
m5_mission_stars_collected has 15171 (5.2%) missing values Missing
m5_day_auto_increment has 15174 (5.2%) missing values Missing
m5_lifetime_played_runs has 16013 (5.5%) missing values Missing
m5_max_run_distance has 16014 (5.5%) missing values Missing
m5_total_purchases_virtual has 16025 (5.5%) missing values Missing
m5_total_ads_watched has 16022 (5.5%) missing values Missing
m5_total_purchases_real has 16030 (5.5%) missing values Missing
m5_geo_country has 15438 (5.3%) missing values Missing
m5_days_played_in_month has 16015 (5.5%) missing values Missing
m5_virtual_currency_balance has 16013 (5.5%) missing values Missing
m5_event_timestamp has 15171 (5.2%) missing values Missing
m6_mission_completed has 13386 (4.6%) missing values Missing
m6_mission_id has 13386 (4.6%) missing values Missing
m6_mission_difficulty has 13386 (4.6%) missing values Missing
m6_mission_stars_collected has 13386 (4.6%) missing values Missing
m6_day_auto_increment has 13388 (4.6%) missing values Missing
m6_lifetime_played_runs has 14232 (4.9%) missing values Missing
m6_max_run_distance has 14233 (4.9%) missing values Missing
m6_total_purchases_virtual has 14242 (4.9%) missing values Missing
m6_total_ads_watched has 14237 (4.9%) missing values Missing
m6_total_purchases_real has 14247 (4.9%) missing values Missing
m6_geo_country has 13710 (4.7%) missing values Missing
m6_days_played_in_month has 14234 (4.9%) missing values Missing
m6_virtual_currency_balance has 14232 (4.9%) missing values Missing
m6_event_timestamp has 13386 (4.6%) missing values Missing
m7_mission_completed has 11269 (3.9%) missing values Missing
m7_mission_id has 11269 (3.9%) missing values Missing
m7_mission_difficulty has 11269 (3.9%) missing values Missing
m7_mission_stars_collected has 11269 (3.9%) missing values Missing
m7_day_auto_increment has 11271 (3.9%) missing values Missing
m7_lifetime_played_runs has 12122 (4.2%) missing values Missing
m7_max_run_distance has 12123 (4.2%) missing values Missing
m7_total_purchases_virtual has 12131 (4.2%) missing values Missing
m7_total_ads_watched has 12126 (4.2%) missing values Missing
m7_total_purchases_real has 12136 (4.2%) missing values Missing
m7_geo_country has 11683 (4.0%) missing values Missing
m7_days_played_in_month has 12124 (4.2%) missing values Missing
m7_virtual_currency_balance has 12122 (4.2%) missing values Missing
m8_event_timestamp has 11269 (3.9%) missing values Missing
m8_mission_completed has 9107 (3.1%) missing values Missing
m8_mission_id has 9107 (3.1%) missing values Missing
m8_mission_difficulty has 9107 (3.1%) missing values Missing
m8_mission_stars_collected has 9107 (3.1%) missing values Missing
m8_day_auto_increment has 9110 (3.1%) missing values Missing
m8_lifetime_played_runs has 9986 (3.4%) missing values Missing
m8_max_run_distance has 9987 (3.4%) missing values Missing
m8_total_purchases_virtual has 9993 (3.4%) missing values Missing
m8_total_ads_watched has 9990 (3.4%) missing values Missing
m8_total_purchases_real has 10000 (3.4%) missing values Missing
m8_geo_country has 9620 (3.3%) missing values Missing
m8_days_played_in_month has 9988 (3.4%) missing values Missing
m8_virtual_currency_balance has 9986 (3.4%) missing values Missing
m8_event_timestamp_1 has 9107 (3.1%) missing values Missing
m9_mission_completed has 6003 (2.1%) missing values Missing
m9_mission_id has 6003 (2.1%) missing values Missing
m9_mission_difficulty has 6003 (2.1%) missing values Missing
m9_mission_stars_collected has 6003 (2.1%) missing values Missing
m9_day_auto_increment has 6005 (2.1%) missing values Missing
m9_lifetime_played_runs has 6900 (2.4%) missing values Missing
m9_max_run_distance has 6901 (2.4%) missing values Missing
m9_total_purchases_virtual has 6907 (2.4%) missing values Missing
m9_total_ads_watched has 6903 (2.4%) missing values Missing
m9_total_purchases_real has 6913 (2.4%) missing values Missing
m9_geo_country has 6624 (2.3%) missing values Missing
m9_days_played_in_month has 6902 (2.4%) missing values Missing
m9_virtual_currency_balance has 6900 (2.4%) missing values Missing
m9_event_timestamp has 6003 (2.1%) missing values Missing
m1_mission_stars_collected is highly skewed (γ1 = 475.0272354) Skewed
m1_day_auto_increment is highly skewed (γ1 = 77.49064546) Skewed
m1_lifetime_played_runs is highly skewed (γ1 = 125.4161283) Skewed
m1_total_purchases_virtual is highly skewed (γ1 = 330.113893) Skewed
m1_total_ads_watched is highly skewed (γ1 = 114.7383394) Skewed
m1_total_purchases_real is highly skewed (γ1 = 80.30809225) Skewed
m1_days_played_in_month is highly skewed (γ1 = 134.0400439) Skewed
m1_virtual_currency_balance is highly skewed (γ1 = 57.81048324) Skewed
m2_mission_stars_collected is highly skewed (γ1 = 481.9460854) Skewed
m2_day_auto_increment is highly skewed (γ1 = 75.9365646) Skewed
m2_lifetime_played_runs is highly skewed (γ1 = 71.98398908) Skewed
m2_total_purchases_virtual is highly skewed (γ1 = 329.1329829) Skewed
m2_total_ads_watched is highly skewed (γ1 = 50.47589978) Skewed
m2_total_purchases_real is highly skewed (γ1 = 82.33198315) Skewed
m2_days_played_in_month is highly skewed (γ1 = 129.975719) Skewed
m2_virtual_currency_balance is highly skewed (γ1 = 57.87928316) Skewed
m3_mission_stars_collected is highly skewed (γ1 = 458.4773471) Skewed
m3_day_auto_increment is highly skewed (γ1 = 76.0608668) Skewed
m3_lifetime_played_runs is highly skewed (γ1 = 48.68875937) Skewed
m3_total_purchases_virtual is highly skewed (γ1 = 327.6302326) Skewed
m3_total_ads_watched is highly skewed (γ1 = 29.91838413) Skewed
m3_total_purchases_real is highly skewed (γ1 = 79.0758152) Skewed
m3_days_played_in_month is highly skewed (γ1 = 130.1876051) Skewed
m3_virtual_currency_balance is highly skewed (γ1 = 57.7940809) Skewed
m4_mission_stars_collected is highly skewed (γ1 = 465.7553776) Skewed
m4_day_auto_increment is highly skewed (γ1 = 75.47143594) Skewed
m4_lifetime_played_runs is highly skewed (γ1 = 31.49690942) Skewed
m4_total_purchases_virtual is highly skewed (γ1 = 299.5996048) Skewed
m4_total_purchases_real is highly skewed (γ1 = 71.06021205) Skewed
m4_days_played_in_month is highly skewed (γ1 = 134.8258136) Skewed
m4_virtual_currency_balance is highly skewed (γ1 = 57.76220075) Skewed
m5_mission_stars_collected is highly skewed (γ1 = 471.0892842) Skewed
m5_day_auto_increment is highly skewed (γ1 = 74.89911679) Skewed
m5_total_purchases_virtual is highly skewed (γ1 = 298.7364004) Skewed
m5_total_purchases_real is highly skewed (γ1 = 69.80833835) Skewed
m5_days_played_in_month is highly skewed (γ1 = 130.8964286) Skewed
m5_virtual_currency_balance is highly skewed (γ1 = 57.90011752) Skewed
m6_mission_stars_collected is highly skewed (γ1 = 471.1581147) Skewed
m6_day_auto_increment is highly skewed (γ1 = 75.14204332) Skewed
m6_total_purchases_virtual is highly skewed (γ1 = 299.4812651) Skewed
m6_total_purchases_real is highly skewed (γ1 = 67.45228441) Skewed
m6_days_played_in_month is highly skewed (γ1 = 131.3209333) Skewed
m6_virtual_currency_balance is highly skewed (γ1 = 57.77363696) Skewed
m7_mission_stars_collected is highly skewed (γ1 = 466.8654078) Skewed
m7_day_auto_increment is highly skewed (γ1 = 75.42897821) Skewed
m7_total_purchases_virtual is highly skewed (γ1 = 264.6915954) Skewed
m7_total_purchases_real is highly skewed (γ1 = 61.0267545) Skewed
m7_days_played_in_month is highly skewed (γ1 = 131.8220866) Skewed
m7_virtual_currency_balance is highly skewed (γ1 = 57.97532777) Skewed
m8_mission_stars_collected is highly skewed (γ1 = 449.6543826) Skewed
m8_day_auto_increment is highly skewed (γ1 = 74.22039352) Skewed
m8_total_purchases_virtual is highly skewed (γ1 = 265.9184824) Skewed
m8_total_purchases_real is highly skewed (γ1 = 59.82408446) Skewed
m8_days_played_in_month is highly skewed (γ1 = 132.3274821) Skewed
m8_virtual_currency_balance is highly skewed (γ1 = 57.85087579) Skewed
m9_mission_stars_collected is highly skewed (γ1 = 447.0676165) Skewed
m9_day_auto_increment is highly skewed (γ1 = 74.6294122) Skewed
m9_total_purchases_virtual is highly skewed (γ1 = 253.8750147) Skewed
m9_total_purchases_real is highly skewed (γ1 = 56.55787071) Skewed
m9_days_played_in_month is highly skewed (γ1 = 133.0542653) Skewed
m9_virtual_currency_balance is highly skewed (γ1 = 57.10313797) Skewed
m10_mission_stars_collected is highly skewed (γ1 = 459.9123883) Skewed
m10_day_auto_increment is highly skewed (γ1 = 73.2881184) Skewed
m10_total_purchases_virtual is highly skewed (γ1 = 255.9361843) Skewed
m10_total_purchases_real is highly skewed (γ1 = 59.05094756) Skewed
m10_days_played_in_month is highly skewed (γ1 = 130.4320874) Skewed
m10_virtual_currency_balance is highly skewed (γ1 = 56.61148308) Skewed
target_max_day_played is highly skewed (γ1 = 70.71445823) Skewed
m1_mission_stars_collected has 6193 (2.1%) zeros Zeros
m1_day_auto_increment has 223332 (77.0%) zeros Zeros
m1_lifetime_played_runs has 5670 (2.0%) zeros Zeros
m1_max_run_distance has 5676 (2.0%) zeros Zeros
m1_total_purchases_virtual has 195898 (67.5%) zeros Zeros
m1_total_ads_watched has 256912 (88.5%) zeros Zeros
m1_total_purchases_real has 268954 (92.7%) zeros Zeros
m1_days_played_in_month has 231712 (79.8%) zeros Zeros
m2_day_auto_increment has 216821 (74.7%) zeros Zeros
m2_total_purchases_virtual has 178926 (61.7%) zeros Zeros
m2_total_ads_watched has 233584 (80.5%) zeros Zeros
m2_total_purchases_real has 269706 (92.9%) zeros Zeros
m2_days_played_in_month has 226472 (78.0%) zeros Zeros
m3_day_auto_increment has 210612 (72.6%) zeros Zeros
m3_total_purchases_virtual has 166948 (57.5%) zeros Zeros
m3_total_ads_watched has 208741 (71.9%) zeros Zeros
m3_total_purchases_real has 270514 (93.2%) zeros Zeros
m3_days_played_in_month has 221453 (76.3%) zeros Zeros
m4_day_auto_increment has 197470 (68.0%) zeros Zeros
m4_total_purchases_virtual has 150302 (51.8%) zeros Zeros
m4_total_ads_watched has 161976 (55.8%) zeros Zeros
m4_total_purchases_real has 271840 (93.7%) zeros Zeros
m4_days_played_in_month has 210295 (72.5%) zeros Zeros
m5_day_auto_increment has 182907 (63.0%) zeros Zeros
m5_total_purchases_virtual has 137405 (47.3%) zeros Zeros
m5_total_ads_watched has 124398 (42.9%) zeros Zeros
m5_total_purchases_real has 273103 (94.1%) zeros Zeros
m5_days_played_in_month has 197537 (68.1%) zeros Zeros
m6_day_auto_increment has 166821 (57.5%) zeros Zeros
m6_total_purchases_virtual has 125116 (43.1%) zeros Zeros
m6_total_ads_watched has 99622 (34.3%) zeros Zeros
m6_total_purchases_real has 274542 (94.6%) zeros Zeros
m6_days_played_in_month has 183316 (63.2%) zeros Zeros
m7_day_auto_increment has 148822 (51.3%) zeros Zeros
m7_total_purchases_virtual has 112407 (38.7%) zeros Zeros
m7_total_ads_watched has 87802 (30.3%) zeros Zeros
m7_total_purchases_real has 276181 (95.2%) zeros Zeros
m7_days_played_in_month has 167164 (57.6%) zeros Zeros
m8_day_auto_increment has 134830 (46.5%) zeros Zeros
m8_total_purchases_virtual has 103590 (35.7%) zeros Zeros
m8_total_ads_watched has 85238 (29.4%) zeros Zeros
m8_total_purchases_real has 277867 (95.7%) zeros Zeros
m8_days_played_in_month has 154675 (53.3%) zeros Zeros
m9_day_auto_increment has 118514 (40.8%) zeros Zeros
m9_total_purchases_virtual has 93916 (32.4%) zeros Zeros
m9_total_ads_watched has 82694 (28.5%) zeros Zeros
m9_total_purchases_real has 280577 (96.7%) zeros Zeros
m9_days_played_in_month has 140325 (48.4%) zeros Zeros
m10_day_auto_increment has 94600 (32.6%) zeros Zeros
m10_total_purchases_virtual has 77704 (26.8%) zeros Zeros
m10_total_ads_watched has 79406 (27.4%) zeros Zeros
m10_total_purchases_real has 286034 (98.6%) zeros Zeros
m10_days_played_in_month has 120598 (41.6%) zeros Zeros
target_max_day_played has 23409 (8.1%) zeros Zeros

Reproduction

Analysis started2022-05-23 09:00:14.876505
Analysis finished2022-05-23 09:00:26.834299
Duration11.96 seconds
Software versionpandas-profiling v3.1.0
Download configurationconfig.json

Variables

user_pseudo_id
Real number (ℝ≥0)

Distinct269972
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51533412.51
Minimum794
Maximum99999617
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:27.786765image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum794
5-th percentile5363352.85
Q126787480
median53708543.5
Q373141943
95-th percentile94568120.5
Maximum99999617
Range99998823
Interquartile range (IQR)46354463

Descriptive statistics

Standard deviation28443493.01
Coefficient of variation (CV)0.5519427421
Kurtosis-1.185178714
Mean51533412.51
Median Absolute Deviation (MAD)23128196.5
Skewness-0.1311219573
Sum1.495509938 × 1013
Variance8.090322945 × 1014
MonotonicityNot monotonic
2022-05-23T11:00:27.913426image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7270678419853
 
6.8%
700894303
 
< 0.1%
62599852
 
< 0.1%
937735012
 
< 0.1%
917960842
 
< 0.1%
820092672
 
< 0.1%
953747592
 
< 0.1%
249446882
 
< 0.1%
562255832
 
< 0.1%
301545592
 
< 0.1%
Other values (269962)270330
93.2%
ValueCountFrequency (%)
7941
< 0.1%
9431
< 0.1%
10301
< 0.1%
25111
< 0.1%
27231
< 0.1%
ValueCountFrequency (%)
999996171
< 0.1%
999994321
< 0.1%
999993341
< 0.1%
999987011
< 0.1%
999983671
< 0.1%

m1_mission_completed
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing19853
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean3
Minimum3
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:28.009170image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13
median3
Q33
95-th percentile3
Maximum3
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean3
Median Absolute Deviation (MAD)0
Skewness0
Sum811047
Variance0
MonotonicityIncreasing
2022-05-23T11:00:28.078984image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
3270349
93.2%
(Missing)19853
 
6.8%
ValueCountFrequency (%)
3270349
93.2%
ValueCountFrequency (%)
3270349
93.2%

m1_mission_id
Categorical

HIGH CARDINALITY
MISSING

Distinct151
Distinct (%)0.1%
Missing19853
Missing (%)6.8%
Memory size2.2 MiB
Mission115
162452 
Mission113
82567 
Mission94
 
13187
Mission109
 
11069
Mission122
 
522
Other values (146)
 
552

Unique

Unique48 ?
Unique (%)< 0.1%

Sample

1st rowMission94
2nd rowMission113
3rd rowMission109
4th rowMission94
5th rowMission115

Common Values

ValueCountFrequency (%)
Mission115162452
56.0%
Mission11382567
28.5%
Mission9413187
 
4.5%
Mission10911069
 
3.8%
Mission122522
 
0.2%
Mission1154
 
< 0.1%
Dynamic622
 
< 0.1%
Dynamic521
 
< 0.1%
Dynamic14617
 
< 0.1%
Mission7516
 
< 0.1%
Other values (141)422
 
0.1%
(Missing)19853
 
6.8%

m1_mission_difficulty
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing19853
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean1.04926225
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:28.154781image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2164838224
Coefficient of variation (CV)0.2063200334
Kurtosis15.41501726
Mean1.04926225
Median Absolute Deviation (MAD)0
Skewness4.169890832
Sum283667
Variance0.04686524537
MonotonicityNot monotonic
2022-05-23T11:00:28.232572image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1257035
88.6%
213310
 
4.6%
34
 
< 0.1%
(Missing)19853
 
6.8%
ValueCountFrequency (%)
1257035
88.6%
213310
 
4.6%
34
 
< 0.1%
ValueCountFrequency (%)
34
 
< 0.1%
213310
 
4.6%
1257035
88.6%

m1_mission_stars_collected
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct24
Distinct (%)< 0.1%
Missing19853
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean2.824452837
Minimum0
Maximum1759
Zeros6193
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:28.325325image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median3
Q33
95-th percentile3
Maximum1759
Range1759
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.48492274
Coefficient of variation (CV)1.233839948
Kurtosis238667.2878
Mean2.824452837
Median Absolute Deviation (MAD)0
Skewness475.0272354
Sum763588
Variance12.1446865
MonotonicityNot monotonic
2022-05-23T11:00:28.420071image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
3245622
84.6%
114135
 
4.9%
06193
 
2.1%
23823
 
1.3%
4413
 
0.1%
5113
 
< 0.1%
630
 
< 0.1%
82
 
< 0.1%
182
 
< 0.1%
322
 
< 0.1%
Other values (14)14
 
< 0.1%
(Missing)19853
 
6.8%
ValueCountFrequency (%)
06193
 
2.1%
114135
 
4.9%
23823
 
1.3%
3245622
84.6%
4413
 
0.1%
ValueCountFrequency (%)
17591
< 0.1%
2621
< 0.1%
1071
< 0.1%
661
< 0.1%
601
< 0.1%

m1_day_auto_increment
Real number (ℝ)

MISSING
SKEWED
ZEROS

Distinct24
Distinct (%)< 0.1%
Missing19854
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean1664.731424
Minimum-1
Maximum10000000
Zeros223332
Zeros (%)77.0%
Negative500
Negative (%)0.2%
Memory size2.2 MiB
2022-05-23T11:00:28.526294image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum10000000
Range10000001
Interquartile range (IQR)0

Descriptive statistics

Standard deviation129005.8148
Coefficient of variation (CV)77.49347009
Kurtosis6002.844542
Mean1664.731424
Median Absolute Deviation (MAD)0
Skewness77.49064546
Sum450056811
Variance1.664250025 × 1010
MonotonicityNot monotonic
2022-05-23T11:00:28.624033image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0223332
77.0%
138814
 
13.4%
25737
 
2.0%
31273
 
0.4%
-1500
 
0.2%
4380
 
0.1%
5144
 
< 0.1%
664
 
< 0.1%
999999938
 
< 0.1%
718
 
< 0.1%
Other values (14)48
 
< 0.1%
(Missing)19854
 
6.8%
ValueCountFrequency (%)
-1500
 
0.2%
0223332
77.0%
138814
 
13.4%
25737
 
2.0%
31273
 
0.4%
ValueCountFrequency (%)
100000007
 
< 0.1%
999999938
< 0.1%
351
 
< 0.1%
241
 
< 0.1%
222
 
< 0.1%

m1_lifetime_played_runs
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct65
Distinct (%)< 0.1%
Missing20658
Missing (%)7.1%
Infinite0
Infinite (%)0.0%
Mean1.221730033
Minimum0
Maximum454
Zeros5670
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:28.739723image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum454
Range454
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.549424278
Coefficient of variation (CV)1.268221486
Kurtosis30085.88492
Mean1.221730033
Median Absolute Deviation (MAD)0
Skewness125.4161283
Sum329310
Variance2.400715592
MonotonicityNot monotonic
2022-05-23T11:00:28.851931image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1220067
75.8%
235797
 
12.3%
05670
 
2.0%
34768
 
1.6%
41421
 
0.5%
5619
 
0.2%
6353
 
0.1%
7210
 
0.1%
8119
 
< 0.1%
1086
 
< 0.1%
Other values (55)434
 
0.1%
(Missing)20658
 
7.1%
ValueCountFrequency (%)
05670
 
2.0%
1220067
75.8%
235797
 
12.3%
34768
 
1.6%
41421
 
0.5%
ValueCountFrequency (%)
4541
< 0.1%
2071
< 0.1%
1801
< 0.1%
1571
< 0.1%
1491
< 0.1%

m1_max_run_distance
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4023
Distinct (%)1.5%
Missing20658
Missing (%)7.1%
Infinite0
Infinite (%)0.0%
Mean1473.321009
Minimum0
Maximum26452
Zeros5676
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:29.048405image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1014
Q11173
median1346
Q31659
95-th percentile2472
Maximum26452
Range26452
Interquartile range (IQR)486

Descriptive statistics

Standard deviation536.0892388
Coefficient of variation (CV)0.3638645181
Kurtosis41.23635832
Mean1473.321009
Median Absolute Deviation (MAD)205
Skewness1.997946615
Sum397124838
Variance287391.672
MonotonicityNot monotonic
2022-05-23T11:00:29.187034image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
05676
 
2.0%
1145548
 
0.2%
1160541
 
0.2%
1153537
 
0.2%
1148532
 
0.2%
1167528
 
0.2%
1159526
 
0.2%
1163524
 
0.2%
1154522
 
0.2%
1158522
 
0.2%
Other values (4013)259088
89.3%
(Missing)20658
 
7.1%
ValueCountFrequency (%)
05676
2.0%
1041
 
< 0.1%
1161
 
< 0.1%
1171
 
< 0.1%
1182
 
< 0.1%
ValueCountFrequency (%)
264521
< 0.1%
246481
< 0.1%
171701
< 0.1%
143661
< 0.1%
129221
< 0.1%

m1_total_purchases_virtual
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct1701
Distinct (%)0.6%
Missing20675
Missing (%)7.1%
Infinite0
Infinite (%)0.0%
Mean40409.23953
Minimum0
Maximum1243550000
Zeros195898
Zeros (%)67.5%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:29.309706image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31500
95-th percentile4500
Maximum1243550000
Range1243550000
Interquartile range (IQR)1500

Descriptive statistics

Standard deviation2888505.951
Coefficient of variation (CV)71.48132419
Kurtosis131915.2552
Mean40409.23953
Median Absolute Deviation (MAD)0
Skewness330.113893
Sum1.08913811 × 1010
Variance8.343466629 × 1012
MonotonicityNot monotonic
2022-05-23T11:00:29.438362image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0195898
67.5%
150032749
 
11.3%
400013123
 
4.5%
30005471
 
1.9%
55004923
 
1.7%
45004461
 
1.5%
5003170
 
1.1%
20002161
 
0.7%
50001693
 
0.6%
1000917
 
0.3%
Other values (1691)4961
 
1.7%
(Missing)20675
 
7.1%
ValueCountFrequency (%)
0195898
67.5%
5003170
 
1.1%
1000917
 
0.3%
150032749
 
11.3%
20002161
 
0.7%
ValueCountFrequency (%)
12435500001
< 0.1%
4700000001
< 0.1%
3938560001
< 0.1%
2235480001
< 0.1%
2235470001
< 0.1%

m1_total_ads_watched
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct37
Distinct (%)< 0.1%
Missing20680
Missing (%)7.1%
Infinite0
Infinite (%)0.0%
Mean0.07225013171
Minimum0
Maximum187
Zeros256912
Zeros (%)88.5%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:29.552058image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum187
Range187
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6865475859
Coefficient of variation (CV)9.502371409
Kurtosis25001.47893
Mean0.07225013171
Median Absolute Deviation (MAD)0
Skewness114.7383394
Sum19473
Variance0.4713475877
MonotonicityNot monotonic
2022-05-23T11:00:29.651791image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0256912
88.5%
19684
 
3.3%
21765
 
0.6%
3548
 
0.2%
4222
 
0.1%
5134
 
< 0.1%
674
 
< 0.1%
746
 
< 0.1%
926
 
< 0.1%
825
 
< 0.1%
Other values (27)86
 
< 0.1%
(Missing)20680
 
7.1%
ValueCountFrequency (%)
0256912
88.5%
19684
 
3.3%
21765
 
0.6%
3548
 
0.2%
4222
 
0.1%
ValueCountFrequency (%)
1871
< 0.1%
1101
< 0.1%
921
< 0.1%
721
< 0.1%
551
< 0.1%

m1_total_purchases_real
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct225
Distinct (%)0.1%
Missing20680
Missing (%)7.1%
Infinite0
Infinite (%)0.0%
Mean0.01198462463
Minimum0
Maximum73.93
Zeros268954
Zeros (%)92.7%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:29.767483image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum73.93
Range73.93
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.464498914
Coefficient of variation (CV)38.75790259
Kurtosis9055.815699
Mean0.01198462463
Median Absolute Deviation (MAD)0
Skewness80.30809225
Sum3230.12
Variance0.2157592411
MonotonicityNot monotonic
2022-05-23T11:00:29.893148image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0268954
92.7%
1.9944
 
< 0.1%
4.9837
 
< 0.1%
0.4833
 
< 0.1%
2.9931
 
< 0.1%
3.9925
 
< 0.1%
0.9918
 
< 0.1%
0.4917
 
< 0.1%
7.9816
 
< 0.1%
0.3715
 
< 0.1%
Other values (215)332
 
0.1%
(Missing)20680
 
7.1%
ValueCountFrequency (%)
0268954
92.7%
0.1112
 
< 0.1%
0.141
 
< 0.1%
0.311
 
< 0.1%
0.321
 
< 0.1%
ValueCountFrequency (%)
73.931
< 0.1%
67.831
< 0.1%
64.971
< 0.1%
61.981
< 0.1%
48.861
< 0.1%

m1_geo_country
Categorical

HIGH CARDINALITY
MISSING

Distinct218
Distinct (%)0.1%
Missing19995
Missing (%)6.9%
Memory size2.2 MiB
United States
45210 
Mexico
34366 
Brazil
 
13253
France
 
11290
Russia
 
10865
Other values (213)
155223 

Unique

Unique14 ?
Unique (%)< 0.1%

Sample

1st rowHonduras
2nd rowBelgium
3rd rowVietnam
4th rowTaiwan
5th rowBangladesh

Common Values

ValueCountFrequency (%)
United States45210
15.6%
Mexico34366
 
11.8%
Brazil13253
 
4.6%
France11290
 
3.9%
Russia10865
 
3.7%
India9685
 
3.3%
Germany9188
 
3.2%
United Kingdom8357
 
2.9%
Turkey8345
 
2.9%
Colombia6871
 
2.4%
Other values (208)112777
38.9%
(Missing)19995
 
6.9%

m1_days_played_in_month
Real number (ℝ)

MISSING
SKEWED
ZEROS

Distinct15
Distinct (%)< 0.1%
Missing20659
Missing (%)7.1%
Infinite0
Infinite (%)0.0%
Mean556.6534208
Minimum-1
Maximum9999999
Zeros231712
Zeros (%)79.8%
Negative531
Negative (%)0.2%
Memory size2.2 MiB
2022-05-23T11:00:30.001364image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9999999
Range10000000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation74596.81266
Coefficient of variation (CV)134.009439
Kurtosis17964.86666
Mean556.6534208
Median Absolute Deviation (MAD)0
Skewness134.0400439
Sum150042033
Variance5564684460
MonotonicityNot monotonic
2022-05-23T11:00:30.090127image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0231712
79.8%
133062
 
11.4%
23501
 
1.2%
3534
 
0.2%
-1531
 
0.2%
4118
 
< 0.1%
533
 
< 0.1%
619
 
< 0.1%
999999915
 
< 0.1%
75
 
< 0.1%
Other values (5)13
 
< 0.1%
(Missing)20659
 
7.1%
ValueCountFrequency (%)
-1531
 
0.2%
0231712
79.8%
133062
 
11.4%
23501
 
1.2%
3534
 
0.2%
ValueCountFrequency (%)
999999915
< 0.1%
141
 
< 0.1%
114
 
< 0.1%
101
 
< 0.1%
93
 
< 0.1%

m1_virtual_currency_balance
Real number (ℝ≥0)

MISSING
SKEWED

Distinct10458
Distinct (%)3.9%
Missing20658
Missing (%)7.1%
Infinite0
Infinite (%)0.0%
Mean461572.631
Minimum0
Maximum1997650000
Zeros19
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:30.197345image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1524
Q15239
median5509
Q35621
95-th percentile5861
Maximum1997650000
Range1997650000
Interquartile range (IQR)382

Descriptive statistics

Standard deviation20999837.19
Coefficient of variation (CV)45.49627899
Kurtosis3591.121271
Mean461572.631
Median Absolute Deviation (MAD)134
Skewness57.81048324
Sum1.244141333 × 1011
Variance4.409931622 × 1014
MonotonicityNot monotonic
2022-05-23T11:00:30.315535image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5545688
 
0.2%
5526687
 
0.2%
5537686
 
0.2%
5548685
 
0.2%
5532683
 
0.2%
5525680
 
0.2%
5522676
 
0.2%
5550673
 
0.2%
5504670
 
0.2%
5521670
 
0.2%
Other values (10448)262746
90.5%
(Missing)20658
 
7.1%
ValueCountFrequency (%)
019
< 0.1%
118
< 0.1%
216
< 0.1%
321
< 0.1%
417
< 0.1%
ValueCountFrequency (%)
19976500001
 
< 0.1%
19956200001
 
< 0.1%
19952500001
 
< 0.1%
19941100001
 
< 0.1%
112789000013
< 0.1%

m1_event_timestamp
Categorical

HIGH CARDINALITY
MISSING

Distinct270320
Distinct (%)> 99.9%
Missing19853
Missing (%)6.8%
Memory size2.2 MiB
2022-02-26 04:11:50.68 UTC
 
2
2022-02-02 11:01:17.439 UTC
 
2
2022-02-13 19:51:48.694 UTC
 
2
2022-02-20 14:46:36.905 UTC
 
2
2022-02-13 22:15:27.567 UTC
 
2
Other values (270315)
270339 

Unique

Unique270291 ?
Unique (%)> 99.9%

Sample

1st row2022-03-02 15:46:04.025 UTC
2nd row2022-02-04 21:16:01.131 UTC
3rd row2022-02-19 04:23:19.464 UTC
4th row2022-02-25 04:49:05.706 UTC
5th row2022-02-14 15:37:03.106 UTC

Common Values

ValueCountFrequency (%)
2022-02-26 04:11:50.68 UTC2
 
< 0.1%
2022-02-02 11:01:17.439 UTC2
 
< 0.1%
2022-02-13 19:51:48.694 UTC2
 
< 0.1%
2022-02-20 14:46:36.905 UTC2
 
< 0.1%
2022-02-13 22:15:27.567 UTC2
 
< 0.1%
2022-02-25 17:58:44.589 UTC2
 
< 0.1%
2022-02-22 19:42:59.552 UTC2
 
< 0.1%
2022-02-20 07:52:39.83 UTC2
 
< 0.1%
2022-02-15 13:52:02.231 UTC2
 
< 0.1%
2022-02-10 17:08:34.5 UTC2
 
< 0.1%
Other values (270310)270329
93.2%
(Missing)19853
 
6.8%

m2_mission_completed
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing19044
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean4
Minimum4
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:30.427742image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4
Q14
median4
Q34
95-th percentile4
Maximum4
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean4
Median Absolute Deviation (MAD)0
Skewness0
Sum1084632
Variance0
MonotonicityIncreasing
2022-05-23T11:00:30.496557image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
4271158
93.4%
(Missing)19044
 
6.6%
ValueCountFrequency (%)
4271158
93.4%
ValueCountFrequency (%)
4271158
93.4%

m2_mission_id
Categorical

HIGH CARDINALITY
MISSING

Distinct153
Distinct (%)0.1%
Missing19044
Missing (%)6.6%
Memory size2.2 MiB
Mission113
130844 
Mission109
90815 
Mission115
30870 
Mission11
14960 
Mission94
 
2821
Other values (148)
 
848

Unique

Unique59 ?
Unique (%)< 0.1%

Sample

1st rowMission109
2nd rowMission109
3rd rowMission113
4th rowMission115
5th rowMission113

Common Values

ValueCountFrequency (%)
Mission113130844
45.1%
Mission10990815
31.3%
Mission11530870
 
10.6%
Mission1114960
 
5.2%
Mission942821
 
1.0%
Mission122319
 
0.1%
Mission393
 
< 0.1%
Mission11436
 
< 0.1%
Dynamic524
 
< 0.1%
Dynamic8213
 
< 0.1%
Other values (143)363
 
0.1%
(Missing)19044
 
6.6%

m2_mission_difficulty
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing19044
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean1.010960399
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:30.573352image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1042230133
Coefficient of variation (CV)0.103093072
Kurtosis87.17522358
Mean1.010960399
Median Absolute Deviation (MAD)0
Skewness9.423429637
Sum274130
Variance0.0108624365
MonotonicityNot monotonic
2022-05-23T11:00:30.651144image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1268189
92.4%
22966
 
1.0%
33
 
< 0.1%
(Missing)19044
 
6.6%
ValueCountFrequency (%)
1268189
92.4%
22966
 
1.0%
33
 
< 0.1%
ValueCountFrequency (%)
33
 
< 0.1%
22966
 
1.0%
1268189
92.4%

m2_mission_stars_collected
Real number (ℝ≥0)

MISSING
SKEWED

Distinct25
Distinct (%)< 0.1%
Missing19044
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean3.387622714
Minimum0
Maximum1760
Zeros9
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:30.741901image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q13
median3
Q34
95-th percentile4
Maximum1760
Range1760
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.465400796
Coefficient of variation (CV)1.022959488
Kurtosis243602.6448
Mean3.387622714
Median Absolute Deviation (MAD)0
Skewness481.9460854
Sum918581
Variance12.00900268
MonotonicityNot monotonic
2022-05-23T11:00:30.921421image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3158086
54.5%
4106292
36.6%
22536
 
0.9%
12505
 
0.9%
51228
 
0.4%
6417
 
0.1%
758
 
< 0.1%
09
 
< 0.1%
84
 
< 0.1%
93
 
< 0.1%
Other values (15)20
 
< 0.1%
(Missing)19044
 
6.6%
ValueCountFrequency (%)
09
 
< 0.1%
12505
 
0.9%
22536
 
0.9%
3158086
54.5%
4106292
36.6%
ValueCountFrequency (%)
17601
< 0.1%
2631
< 0.1%
681
< 0.1%
621
< 0.1%
362
< 0.1%

m2_day_auto_increment
Real number (ℝ)

MISSING
SKEWED
ZEROS

Distinct26
Distinct (%)< 0.1%
Missing19045
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean1733.569475
Minimum-1
Maximum10000001
Zeros216821
Zeros (%)74.7%
Negative545
Negative (%)0.2%
Memory size2.2 MiB
2022-05-23T11:00:31.025145image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum10000001
Range10000002
Interquartile range (IQR)0

Descriptive statistics

Standard deviation131644.1692
Coefficient of variation (CV)75.93821368
Kurtosis5764.40436
Mean1733.569475
Median Absolute Deviation (MAD)0
Skewness75.9365646
Sum470069498
Variance1.733018728 × 1010
MonotonicityNot monotonic
2022-05-23T11:00:31.128883image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0216821
74.7%
142648
 
14.7%
27946
 
2.7%
32068
 
0.7%
4639
 
0.2%
-1545
 
0.2%
5249
 
0.1%
691
 
< 0.1%
743
 
< 0.1%
999999943
 
< 0.1%
Other values (16)64
 
< 0.1%
(Missing)19045
 
6.6%
ValueCountFrequency (%)
-1545
 
0.2%
0216821
74.7%
142648
 
14.7%
27946
 
2.7%
32068
 
0.7%
ValueCountFrequency (%)
100000011
 
< 0.1%
100000003
 
< 0.1%
999999943
< 0.1%
371
 
< 0.1%
361
 
< 0.1%

m2_lifetime_played_runs
Real number (ℝ≥0)

MISSING
SKEWED

Distinct92
Distinct (%)< 0.1%
Missing19857
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean1.75012669
Minimum0
Maximum454
Zeros275
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:31.240584image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum454
Range454
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.212497022
Coefficient of variation (CV)1.264192492
Kurtosis10953.1013
Mean1.75012669
Median Absolute Deviation (MAD)1
Skewness71.98398908
Sum473138
Variance4.89514307
MonotonicityNot monotonic
2022-05-23T11:00:31.350291image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1132695
45.7%
2109137
37.6%
318067
 
6.2%
44879
 
1.7%
51902
 
0.7%
61003
 
0.3%
7624
 
0.2%
8376
 
0.1%
0275
 
0.1%
9228
 
0.1%
Other values (82)1159
 
0.4%
(Missing)19857
 
6.8%
ValueCountFrequency (%)
0275
 
0.1%
1132695
45.7%
2109137
37.6%
318067
 
6.2%
44879
 
1.7%
ValueCountFrequency (%)
4541
< 0.1%
3841
< 0.1%
2071
< 0.1%
1821
< 0.1%
1581
< 0.1%

m2_max_run_distance
Real number (ℝ≥0)

MISSING

Distinct4341
Distinct (%)1.6%
Missing19857
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean1556.57933
Minimum0
Maximum57880
Zeros282
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:31.461992image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1035
Q11211
median1404
Q31760
95-th percentile2556
Maximum57880
Range57880
Interquartile range (IQR)549

Descriptive statistics

Standard deviation540.2665989
Coefficient of variation (CV)0.3470858108
Kurtosis498.058075
Mean1556.57933
Median Absolute Deviation (MAD)230
Skewness7.219338013
Sum420813439
Variance291887.9979
MonotonicityNot monotonic
2022-05-23T11:00:31.575688image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1167472
 
0.2%
1159463
 
0.2%
1151459
 
0.2%
1160457
 
0.2%
1153452
 
0.2%
1140450
 
0.2%
1164448
 
0.2%
1181447
 
0.2%
1145447
 
0.2%
1158446
 
0.2%
Other values (4331)265804
91.6%
(Missing)19857
 
6.8%
ValueCountFrequency (%)
0282
0.1%
1031
 
< 0.1%
1041
 
< 0.1%
1081
 
< 0.1%
1131
 
< 0.1%
ValueCountFrequency (%)
578801
< 0.1%
273421
< 0.1%
264521
< 0.1%
246481
< 0.1%
171701
< 0.1%

m2_total_purchases_virtual
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct1828
Distinct (%)0.7%
Missing19870
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean42054.6776
Minimum0
Maximum1243550000
Zeros178926
Zeros (%)61.7%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:31.697362image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31500
95-th percentile4500
Maximum1243550000
Range1243550000
Interquartile range (IQR)1500

Descriptive statistics

Standard deviation2891534.77
Coefficient of variation (CV)68.75655538
Kurtosis131198.2734
Mean42054.6776
Median Absolute Deviation (MAD)0
Skewness329.1329829
Sum1.136872511 × 1010
Variance8.360973324 × 1012
MonotonicityNot monotonic
2022-05-23T11:00:31.820034image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0178926
61.7%
150036460
 
12.6%
400013094
 
4.5%
5008258
 
2.8%
30006941
 
2.4%
55006421
 
2.2%
45005415
 
1.9%
20003765
 
1.3%
50002625
 
0.9%
10001598
 
0.6%
Other values (1818)6829
 
2.4%
(Missing)19870
 
6.8%
ValueCountFrequency (%)
0178926
61.7%
5008258
 
2.8%
10001598
 
0.6%
150036460
 
12.6%
20003765
 
1.3%
ValueCountFrequency (%)
12435500001
< 0.1%
4800000001
< 0.1%
3938560001
< 0.1%
2235480001
< 0.1%
2235470001
< 0.1%

m2_total_ads_watched
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct48
Distinct (%)< 0.1%
Missing19877
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean0.2189105706
Minimum0
Maximum190
Zeros233584
Zeros (%)80.5%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:31.934728image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum190
Range190
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9704778836
Coefficient of variation (CV)4.43321618
Kurtosis6983.915741
Mean0.2189105706
Median Absolute Deviation (MAD)0
Skewness50.47589978
Sum59177
Variance0.9418273226
MonotonicityNot monotonic
2022-05-23T11:00:32.045432image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0233584
80.5%
125756
 
8.9%
26748
 
2.3%
32154
 
0.7%
4892
 
0.3%
5424
 
0.1%
6262
 
0.1%
7139
 
< 0.1%
8104
 
< 0.1%
965
 
< 0.1%
Other values (38)197
 
0.1%
(Missing)19877
 
6.8%
ValueCountFrequency (%)
0233584
80.5%
125756
 
8.9%
26748
 
2.3%
32154
 
0.7%
4892
 
0.3%
ValueCountFrequency (%)
1901
< 0.1%
1101
< 0.1%
921
< 0.1%
751
< 0.1%
731
< 0.1%

m2_total_purchases_real
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct243
Distinct (%)0.1%
Missing19877
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean0.01286414501
Minimum0
Maximum78.76
Zeros269706
Zeros (%)92.9%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:32.166109image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum78.76
Range78.76
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4942226121
Coefficient of variation (CV)38.41861326
Kurtosis9469.002688
Mean0.01286414501
Median Absolute Deviation (MAD)0
Skewness82.33198315
Sum3477.5
Variance0.2442559904
MonotonicityNot monotonic
2022-05-23T11:00:32.280802image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0269706
92.9%
1.9951
 
< 0.1%
0.4838
 
< 0.1%
4.9837
 
< 0.1%
2.9933
 
< 0.1%
3.9927
 
< 0.1%
0.4921
 
< 0.1%
0.9920
 
< 0.1%
0.3718
 
< 0.1%
7.9817
 
< 0.1%
Other values (233)357
 
0.1%
(Missing)19877
 
6.8%
ValueCountFrequency (%)
0269706
92.9%
0.1113
 
< 0.1%
0.141
 
< 0.1%
0.221
 
< 0.1%
0.311
 
< 0.1%
ValueCountFrequency (%)
78.761
< 0.1%
73.931
< 0.1%
67.831
< 0.1%
64.971
< 0.1%
61.981
< 0.1%

m2_geo_country
Categorical

HIGH CARDINALITY
MISSING

Distinct217
Distinct (%)0.1%
Missing19204
Missing (%)6.6%
Memory size2.2 MiB
United States
45371 
Mexico
34457 
Brazil
 
13308
France
 
11332
Russia
 
10889
Other values (212)
155641 

Unique

Unique13 ?
Unique (%)< 0.1%

Sample

1st rowHonduras
2nd rowBelgium
3rd rowVietnam
4th rowTaiwan
5th rowBangladesh

Common Values

ValueCountFrequency (%)
United States45371
15.6%
Mexico34457
 
11.9%
Brazil13308
 
4.6%
France11332
 
3.9%
Russia10889
 
3.8%
India9702
 
3.3%
Germany9218
 
3.2%
United Kingdom8371
 
2.9%
Turkey8368
 
2.9%
Colombia6889
 
2.4%
Other values (207)113093
39.0%
(Missing)19204
 
6.6%

m2_days_played_in_month
Real number (ℝ)

MISSING
SKEWED
ZEROS

Distinct16
Distinct (%)< 0.1%
Missing19858
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean592.0253233
Minimum-1
Maximum9999999
Zeros226472
Zeros (%)78.0%
Negative573
Negative (%)0.2%
Memory size2.2 MiB
2022-05-23T11:00:32.391506image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9999999
Range10000000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation76928.90015
Coefficient of variation (CV)129.9419081
Kurtosis16891.81249
Mean592.0253233
Median Absolute Deviation (MAD)0
Skewness129.975719
Sum160050494
Variance5918055678
MonotonicityNot monotonic
2022-05-23T11:00:32.478274image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0226472
78.0%
137160
 
12.8%
24952
 
1.7%
3879
 
0.3%
-1573
 
0.2%
4198
 
0.1%
551
 
< 0.1%
619
 
< 0.1%
999999916
 
< 0.1%
79
 
< 0.1%
Other values (6)15
 
< 0.1%
(Missing)19858
 
6.8%
ValueCountFrequency (%)
-1573
 
0.2%
0226472
78.0%
137160
 
12.8%
24952
 
1.7%
3879
 
0.3%
ValueCountFrequency (%)
999999916
< 0.1%
231
 
< 0.1%
161
 
< 0.1%
113
 
< 0.1%
101
 
< 0.1%

m2_virtual_currency_balance
Real number (ℝ≥0)

MISSING
SKEWED

Distinct11080
Distinct (%)4.1%
Missing19857
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean477913.0538
Minimum0
Maximum2146000000
Zeros15
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:32.671757image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1429
Q14378
median5542
Q35692
95-th percentile6013
Maximum2146000000
Range2146000000
Interquartile range (IQR)1314

Descriptive statistics

Standard deviation21449218.27
Coefficient of variation (CV)44.88100524
Kurtosis3654.309616
Mean477913.0538
Median Absolute Deviation (MAD)205
Skewness57.87928316
Sum1.292014045 × 1011
Variance4.600689644 × 1014
MonotonicityNot monotonic
2022-05-23T11:00:32.782461image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5579557
 
0.2%
5545546
 
0.2%
5574541
 
0.2%
5558538
 
0.2%
5570534
 
0.2%
5554533
 
0.2%
5571533
 
0.2%
5562532
 
0.2%
5548526
 
0.2%
5591525
 
0.2%
Other values (11070)264980
91.3%
(Missing)19857
 
6.8%
ValueCountFrequency (%)
015
< 0.1%
117
< 0.1%
214
< 0.1%
316
< 0.1%
421
< 0.1%
ValueCountFrequency (%)
21460000001
< 0.1%
19976500001
< 0.1%
19956200001
< 0.1%
19952500001
< 0.1%
19941100001
< 0.1%

m2_event_timestamp
Categorical

HIGH CARDINALITY
MISSING

Distinct271135
Distinct (%)> 99.9%
Missing19044
Missing (%)6.6%
Memory size2.2 MiB
2022-02-08 16:29:36.379 UTC
 
2
2022-02-05 16:38:31.115 UTC
 
2
2022-02-18 15:55:52.686 UTC
 
2
2022-02-20 04:47:20.432 UTC
 
2
2022-02-23 03:39:50.976 UTC
 
2
Other values (271130)
271148 

Unique

Unique271112 ?
Unique (%)> 99.9%

Sample

1st row2022-03-02 15:46:51.889 UTC
2nd row2022-02-04 21:16:02.086 UTC
3rd row2022-02-19 04:23:20.96 UTC
4th row2022-02-25 04:49:13.325 UTC
5th row2022-02-14 15:38:39.378 UTC

Common Values

ValueCountFrequency (%)
2022-02-08 16:29:36.379 UTC2
 
< 0.1%
2022-02-05 16:38:31.115 UTC2
 
< 0.1%
2022-02-18 15:55:52.686 UTC2
 
< 0.1%
2022-02-20 04:47:20.432 UTC2
 
< 0.1%
2022-02-23 03:39:50.976 UTC2
 
< 0.1%
2022-02-05 18:54:12.53 UTC2
 
< 0.1%
2022-02-24 14:28:23.44 UTC2
 
< 0.1%
2022-02-17 16:59:45.627 UTC2
 
< 0.1%
2022-02-26 11:09:38.991 UTC2
 
< 0.1%
2022-02-13 19:52:23.665 UTC2
 
< 0.1%
Other values (271125)271138
93.4%
(Missing)19044
 
6.6%

m3_mission_completed
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing18156
Missing (%)6.3%
Infinite0
Infinite (%)0.0%
Mean5
Minimum5
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:32.888178image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q15
median5
Q35
95-th percentile5
Maximum5
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean5
Median Absolute Deviation (MAD)0
Skewness0
Sum1360230
Variance0
MonotonicityIncreasing
2022-05-23T11:00:32.958989image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
5272046
93.7%
(Missing)18156
 
6.3%
ValueCountFrequency (%)
5272046
93.7%
ValueCountFrequency (%)
5272046
93.7%

m3_mission_id
Categorical

HIGH CARDINALITY
MISSING

Distinct157
Distinct (%)0.1%
Missing18156
Missing (%)6.3%
Memory size2.2 MiB
Mission109
136141 
Mission115
56692 
Mission11
36939 
Mission113
32179 
Mission3
 
8083
Other values (152)
 
2012

Unique

Unique67 ?
Unique (%)< 0.1%

Sample

1st rowMission115
2nd rowMission115
3rd rowMission115
4th rowMission109
5th rowMission109

Common Values

ValueCountFrequency (%)
Mission109136141
46.9%
Mission11556692
19.5%
Mission1136939
 
12.7%
Mission11332179
 
11.1%
Mission38083
 
2.8%
Mission941215
 
0.4%
Mission122211
 
0.1%
Mission114158
 
0.1%
Mission636
 
< 0.1%
Dynamic515
 
< 0.1%
Other values (147)377
 
0.1%
(Missing)18156
 
6.3%

m3_mission_difficulty
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing18156
Missing (%)6.3%
Infinite0
Infinite (%)0.0%
Mean1.005046941
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:33.036781image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07106964429
Coefficient of variation (CV)0.07071276118
Kurtosis198.8705083
Mean1.005046941
Median Absolute Deviation (MAD)0
Skewness14.09220973
Sum273419
Variance0.005050894339
MonotonicityNot monotonic
2022-05-23T11:00:33.113082image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1270677
93.3%
21365
 
0.5%
34
 
< 0.1%
(Missing)18156
 
6.3%
ValueCountFrequency (%)
1270677
93.3%
21365
 
0.5%
34
 
< 0.1%
ValueCountFrequency (%)
34
 
< 0.1%
21365
 
0.5%
1270677
93.3%

m3_mission_stars_collected
Real number (ℝ≥0)

MISSING
SKEWED

Distinct29
Distinct (%)< 0.1%
Missing18156
Missing (%)6.3%
Infinite0
Infinite (%)0.0%
Mean4.104298538
Minimum0
Maximum1761
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:33.209331image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q13
median4
Q35
95-th percentile5
Maximum1761
Range1761
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.520337424
Coefficient of variation (CV)0.8577196303
Kurtosis228151.1063
Mean4.104298538
Median Absolute Deviation (MAD)1
Skewness458.4773471
Sum1116558
Variance12.39277558
MonotonicityNot monotonic
2022-05-23T11:00:33.304077image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
5105674
36.4%
382282
28.4%
480811
27.8%
61569
 
0.5%
21139
 
0.4%
7466
 
0.2%
856
 
< 0.1%
110
 
< 0.1%
97
 
< 0.1%
114
 
< 0.1%
Other values (19)28
 
< 0.1%
(Missing)18156
 
6.3%
ValueCountFrequency (%)
03
 
< 0.1%
110
 
< 0.1%
21139
 
0.4%
382282
28.4%
480811
27.8%
ValueCountFrequency (%)
17611
< 0.1%
2651
< 0.1%
681
< 0.1%
631
< 0.1%
411
< 0.1%

m3_day_auto_increment
Real number (ℝ)

MISSING
SKEWED
ZEROS

Distinct26
Distinct (%)< 0.1%
Missing18157
Missing (%)6.3%
Infinite0
Infinite (%)0.0%
Mean1727.959393
Minimum-1
Maximum10000001
Zeros210612
Zeros (%)72.6%
Negative593
Negative (%)0.2%
Memory size2.2 MiB
2022-05-23T11:00:33.407308image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum10000001
Range10000002
Interquartile range (IQR)0

Descriptive statistics

Standard deviation131429.1749
Coefficient of variation (CV)76.06033765
Kurtosis5783.297976
Mean1727.959393
Median Absolute Deviation (MAD)0
Skewness76.0608668
Sum470082713
Variance1.7273628 × 1010
MonotonicityNot monotonic
2022-05-23T11:00:33.509036image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0210612
72.6%
146213
 
15.9%
29980
 
3.4%
32909
 
1.0%
4970
 
0.3%
-1593
 
0.2%
5416
 
0.1%
6140
 
< 0.1%
769
 
< 0.1%
999999944
 
< 0.1%
Other values (16)99
 
< 0.1%
(Missing)18157
 
6.3%
ValueCountFrequency (%)
-1593
 
0.2%
0210612
72.6%
146213
 
15.9%
29980
 
3.4%
32909
 
1.0%
ValueCountFrequency (%)
100000011
 
< 0.1%
100000002
 
< 0.1%
999999944
< 0.1%
1091
 
< 0.1%
381
 
< 0.1%

m3_lifetime_played_runs
Real number (ℝ≥0)

MISSING
SKEWED

Distinct103
Distinct (%)< 0.1%
Missing18975
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean2.260678325
Minimum0
Maximum454
Zeros189
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:33.626721image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q32
95-th percentile4
Maximum454
Range454
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.621798188
Coefficient of variation (CV)1.159739605
Kurtosis5748.543537
Mean2.260678325
Median Absolute Deviation (MAD)0
Skewness48.68875937
Sum613157
Variance6.873825741
MonotonicityNot monotonic
2022-05-23T11:00:33.736428image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2147416
50.8%
164480
22.2%
336050
 
12.4%
411093
 
3.8%
54629
 
1.6%
62339
 
0.8%
71372
 
0.5%
8855
 
0.3%
9541
 
0.2%
10443
 
0.2%
Other values (93)2009
 
0.7%
(Missing)18975
 
6.5%
ValueCountFrequency (%)
0189
 
0.1%
164480
22.2%
2147416
50.8%
336050
 
12.4%
411093
 
3.8%
ValueCountFrequency (%)
4541
 
< 0.1%
3851
 
< 0.1%
2071
 
< 0.1%
1831
 
< 0.1%
1583
< 0.1%

m3_max_run_distance
Real number (ℝ≥0)

MISSING

Distinct4680
Distinct (%)1.7%
Missing18975
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean1656.082322
Minimum0
Maximum57880
Zeros195
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:33.847132image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1061
Q11269
median1493
Q31914
95-th percentile2705
Maximum57880
Range57880
Interquartile range (IQR)645

Descriptive statistics

Standard deviation589.6840733
Coefficient of variation (CV)0.3560717154
Kurtosis350.3996189
Mean1656.082322
Median Absolute Deviation (MAD)276
Skewness6.081108802
Sum449174240
Variance347727.3063
MonotonicityNot monotonic
2022-05-23T11:00:33.963821image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1201369
 
0.1%
1217369
 
0.1%
1208368
 
0.1%
1248366
 
0.1%
1159366
 
0.1%
1181361
 
0.1%
1210360
 
0.1%
1240358
 
0.1%
1180356
 
0.1%
1167353
 
0.1%
Other values (4670)267601
92.2%
(Missing)18975
 
6.5%
ValueCountFrequency (%)
0195
0.1%
1041
 
< 0.1%
1082
 
< 0.1%
1131
 
< 0.1%
1193
 
< 0.1%
ValueCountFrequency (%)
578801
< 0.1%
273421
< 0.1%
264521
< 0.1%
246481
< 0.1%
171701
< 0.1%

m3_total_purchases_virtual
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct1924
Distinct (%)0.7%
Missing18987
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean43507.77285
Minimum0
Maximum1243550000
Zeros166948
Zeros (%)57.5%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:34.082009image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31500
95-th percentile5500
Maximum1243550000
Range1243550000
Interquartile range (IQR)1500

Descriptive statistics

Standard deviation2893773.34
Coefficient of variation (CV)66.51164035
Kurtosis130389.9693
Mean43507.77285
Median Absolute Deviation (MAD)0
Skewness327.6302326
Sum1.179996061 × 1010
Variance8.373924144 × 1012
MonotonicityNot monotonic
2022-05-23T11:00:34.206692image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0166948
57.5%
150037810
 
13.0%
400013410
 
4.6%
50010275
 
3.5%
55008422
 
2.9%
30007894
 
2.7%
45006156
 
2.1%
20004686
 
1.6%
50003460
 
1.2%
10002520
 
0.9%
Other values (1914)9634
 
3.3%
(Missing)18987
 
6.5%
ValueCountFrequency (%)
0166948
57.5%
50010275
 
3.5%
10002520
 
0.9%
150037810
 
13.0%
20004686
 
1.6%
ValueCountFrequency (%)
12435500001
< 0.1%
4800000001
< 0.1%
3938560001
< 0.1%
2235480001
< 0.1%
2235470001
< 0.1%

m3_total_ads_watched
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct55
Distinct (%)< 0.1%
Missing18993
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean0.4018856306
Minimum0
Maximum193
Zeros208741
Zeros (%)71.9%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:34.327369image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum193
Range193
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.245403152
Coefficient of variation (CV)3.098899429
Kurtosis2947.081611
Mean0.4018856306
Median Absolute Deviation (MAD)0
Skewness29.91838413
Sum108995
Variance1.55102901
MonotonicityNot monotonic
2022-05-23T11:00:34.525838image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0208741
71.9%
140074
 
13.8%
212929
 
4.5%
34703
 
1.6%
42070
 
0.7%
51078
 
0.4%
6541
 
0.2%
7327
 
0.1%
8220
 
0.1%
9134
 
< 0.1%
Other values (45)392
 
0.1%
(Missing)18993
 
6.5%
ValueCountFrequency (%)
0208741
71.9%
140074
 
13.8%
212929
 
4.5%
34703
 
1.6%
42070
 
0.7%
ValueCountFrequency (%)
1931
< 0.1%
1101
< 0.1%
1011
< 0.1%
931
< 0.1%
761
< 0.1%

m3_total_purchases_real
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct253
Distinct (%)0.1%
Missing18995
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean0.01379894324
Minimum0
Maximum78.76
Zeros270514
Zeros (%)93.2%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:34.645518image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum78.76
Range78.76
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5050783801
Coefficient of variation (CV)36.60268553
Kurtosis8799.701257
Mean0.01379894324
Median Absolute Deviation (MAD)0
Skewness79.0758152
Sum3742.37
Variance0.2551041701
MonotonicityNot monotonic
2022-05-23T11:00:34.760212image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0270514
93.2%
1.9963
 
< 0.1%
0.4846
 
< 0.1%
4.9842
 
< 0.1%
2.9938
 
< 0.1%
3.9931
 
< 0.1%
0.4924
 
< 0.1%
0.9922
 
< 0.1%
0.3721
 
< 0.1%
7.9817
 
< 0.1%
Other values (243)389
 
0.1%
(Missing)18995
 
6.5%
ValueCountFrequency (%)
0270514
93.2%
0.1114
 
< 0.1%
0.141
 
< 0.1%
0.222
 
< 0.1%
0.311
 
< 0.1%
ValueCountFrequency (%)
78.761
< 0.1%
73.931
< 0.1%
67.831
< 0.1%
64.971
< 0.1%
61.981
< 0.1%

m3_geo_country
Categorical

HIGH CARDINALITY
MISSING

Distinct219
Distinct (%)0.1%
Missing18338
Missing (%)6.3%
Memory size2.2 MiB
United States
45548 
Mexico
34546 
Brazil
 
13344
France
 
11362
Russia
 
10918
Other values (214)
156146 

Unique

Unique15 ?
Unique (%)< 0.1%

Sample

1st rowHonduras
2nd rowBelgium
3rd rowVietnam
4th rowTaiwan
5th rowBangladesh

Common Values

ValueCountFrequency (%)
United States45548
15.7%
Mexico34546
 
11.9%
Brazil13344
 
4.6%
France11362
 
3.9%
Russia10918
 
3.8%
India9722
 
3.4%
Germany9257
 
3.2%
United Kingdom8406
 
2.9%
Turkey8399
 
2.9%
Colombia6904
 
2.4%
Other values (209)113458
39.1%
(Missing)18338
 
6.3%

m3_days_played_in_month
Real number (ℝ)

MISSING
SKEWED
ZEROS

Distinct19
Distinct (%)< 0.1%
Missing18976
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean590.1322182
Minimum-1
Maximum9999999
Zeros221453
Zeros (%)76.3%
Negative622
Negative (%)0.2%
Memory size2.2 MiB
2022-05-23T11:00:34.867923image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9999999
Range10000000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation76803.72241
Coefficient of variation (CV)130.146635
Kurtosis16946.93749
Mean590.1322182
Median Absolute Deviation (MAD)0
Skewness130.1876051
Sum160059201
Variance5898811776
MonotonicityNot monotonic
2022-05-23T11:00:34.961179image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0221453
76.3%
140991
 
14.1%
26394
 
2.2%
31291
 
0.4%
-1622
 
0.2%
4309
 
0.1%
582
 
< 0.1%
631
 
< 0.1%
999999916
 
< 0.1%
711
 
< 0.1%
Other values (9)26
 
< 0.1%
(Missing)18976
 
6.5%
ValueCountFrequency (%)
-1622
 
0.2%
0221453
76.3%
140991
 
14.1%
26394
 
2.2%
31291
 
0.4%
ValueCountFrequency (%)
999999916
< 0.1%
231
 
< 0.1%
171
 
< 0.1%
161
 
< 0.1%
142
 
< 0.1%

m3_virtual_currency_balance
Real number (ℝ≥0)

MISSING
SKEWED

Distinct11769
Distinct (%)4.3%
Missing18975
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean489163.0739
Minimum0
Maximum2146000000
Zeros18
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:35.066896image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1089
Q14241
median5577
Q35765
95-th percentile6190
Maximum2146000000
Range2146000000
Interquartile range (IQR)1524

Descriptive statistics

Standard deviation21840001.62
Coefficient of variation (CV)44.64769069
Kurtosis3659.283493
Mean489163.0739
Median Absolute Deviation (MAD)299
Skewness57.7940809
Sum1.32674233 × 1011
Variance4.769856708 × 1014
MonotonicityNot monotonic
2022-05-23T11:00:35.176603image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5655433
 
0.1%
5664428
 
0.1%
5660424
 
0.1%
5685422
 
0.1%
5653415
 
0.1%
5627413
 
0.1%
5624412
 
0.1%
5631408
 
0.1%
5608406
 
0.1%
5601405
 
0.1%
Other values (11759)267061
92.0%
(Missing)18975
 
6.5%
ValueCountFrequency (%)
018
< 0.1%
111
< 0.1%
211
< 0.1%
313
< 0.1%
411
< 0.1%
ValueCountFrequency (%)
21460000001
< 0.1%
19961500001
< 0.1%
19956200001
< 0.1%
19952500001
< 0.1%
19941100001
< 0.1%

m3_event_timestamp
Categorical

HIGH CARDINALITY
MISSING

Distinct272031
Distinct (%)> 99.9%
Missing18156
Missing (%)6.3%
Memory size2.2 MiB
2022-02-26 15:23:05.089 UTC
 
2
2022-02-22 15:58:02.495 UTC
 
2
2022-02-12 19:11:09.707 UTC
 
2
2022-02-21 09:15:13.759 UTC
 
2
2022-02-20 22:35:25.352 UTC
 
2
Other values (272026)
272036 

Unique

Unique272016 ?
Unique (%)> 99.9%

Sample

1st row2022-03-02 15:54:49.526 UTC
2nd row2022-02-04 21:16:17.07 UTC
3rd row2022-02-19 04:25:50.388 UTC
4th row2022-02-25 09:08:26.902 UTC
5th row2022-02-14 20:45:14.263 UTC

Common Values

ValueCountFrequency (%)
2022-02-26 15:23:05.089 UTC2
 
< 0.1%
2022-02-22 15:58:02.495 UTC2
 
< 0.1%
2022-02-12 19:11:09.707 UTC2
 
< 0.1%
2022-02-21 09:15:13.759 UTC2
 
< 0.1%
2022-02-20 22:35:25.352 UTC2
 
< 0.1%
2022-02-14 16:31:51.782 UTC2
 
< 0.1%
2022-02-09 19:35:18.524 UTC2
 
< 0.1%
2022-02-19 23:11:42.023 UTC2
 
< 0.1%
2022-02-23 20:02:02.455 UTC2
 
< 0.1%
2022-02-11 11:36:40.707 UTC2
 
< 0.1%
Other values (272021)272026
93.7%
(Missing)18156
 
6.3%

m4_mission_completed
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing16653
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean6
Minimum6
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:35.288304image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile6
Q16
median6
Q36
95-th percentile6
Maximum6
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean6
Median Absolute Deviation (MAD)0
Skewness0
Sum1641294
Variance0
MonotonicityIncreasing
2022-05-23T11:00:35.358118image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
6273549
94.3%
(Missing)16653
 
5.7%
ValueCountFrequency (%)
6273549
94.3%
ValueCountFrequency (%)
6273549
94.3%

m4_mission_id
Categorical

HIGH CARDINALITY
MISSING

Distinct149
Distinct (%)0.1%
Missing16653
Missing (%)5.7%
Memory size2.2 MiB
Mission11
118684 
Mission3
66620 
Mission114
38928 
Mission115
22556 
Mission109
14777 
Other values (144)
11984 

Unique

Unique51 ?
Unique (%)< 0.1%

Sample

1st rowMission114
2nd rowMission3
3rd rowMission11
4th rowMission3
5th rowMission114

Common Values

ValueCountFrequency (%)
Mission11118684
40.9%
Mission366620
23.0%
Mission11438928
 
13.4%
Mission11522556
 
7.8%
Mission10914777
 
5.1%
Mission11310465
 
3.6%
Mission94823
 
0.3%
Mission122149
 
0.1%
Mission6129
 
< 0.1%
Mission1968
 
< 0.1%
Other values (139)350
 
0.1%
(Missing)16653
 
5.7%

m4_mission_difficulty
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing16653
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean1.003812845
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:35.434912image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06174904039
Coefficient of variation (CV)0.06151449514
Kurtosis262.2820871
Mean1.003812845
Median Absolute Deviation (MAD)0
Skewness16.19518302
Sum274592
Variance0.003812943989
MonotonicityNot monotonic
2022-05-23T11:00:35.510216image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1272508
93.9%
21039
 
0.4%
32
 
< 0.1%
(Missing)16653
 
5.7%
ValueCountFrequency (%)
1272508
93.9%
21039
 
0.4%
32
 
< 0.1%
ValueCountFrequency (%)
32
 
< 0.1%
21039
 
0.4%
1272508
93.9%

m4_mission_stars_collected
Real number (ℝ≥0)

MISSING
SKEWED

Distinct27
Distinct (%)< 0.1%
Missing16653
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean5.427524868
Minimum1
Maximum1761
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:35.602968image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q15
median6
Q36
95-th percentile6
Maximum1761
Range1760
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.492838742
Coefficient of variation (CV)0.6435417299
Kurtosis233424.5497
Mean5.427524868
Median Absolute Deviation (MAD)0
Skewness465.7553776
Sum1484694
Variance12.19992248
MonotonicityNot monotonic
2022-05-23T11:00:35.692757image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
6155638
53.6%
566355
22.9%
447911
 
16.5%
72742
 
0.9%
8466
 
0.2%
3276
 
0.1%
997
 
< 0.1%
215
 
< 0.1%
1010
 
< 0.1%
16
 
< 0.1%
Other values (17)33
 
< 0.1%
(Missing)16653
 
5.7%
ValueCountFrequency (%)
16
 
< 0.1%
215
 
< 0.1%
3276
 
0.1%
447911
16.5%
566355
22.9%
ValueCountFrequency (%)
17611
< 0.1%
2671
< 0.1%
731
< 0.1%
421
< 0.1%
401
< 0.1%

m4_day_auto_increment
Real number (ℝ)

MISSING
SKEWED
ZEROS

Distinct28
Distinct (%)< 0.1%
Missing16656
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean1755.134266
Minimum-1
Maximum10000001
Zeros197470
Zeros (%)68.0%
Negative670
Negative (%)0.2%
Memory size2.2 MiB
2022-05-23T11:00:35.794485image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum10000001
Range10000002
Interquartile range (IQR)1

Descriptive statistics

Standard deviation132454.9112
Coefficient of variation (CV)75.46711028
Kurtosis5693.979274
Mean1755.134266
Median Absolute Deviation (MAD)0
Skewness75.47143594
Sum480109958
Variance1.754430351 × 1010
MonotonicityNot monotonic
2022-05-23T11:00:35.891226image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0197470
68.0%
153766
 
18.5%
214008
 
4.8%
34568
 
1.6%
41640
 
0.6%
5748
 
0.3%
-1670
 
0.2%
6279
 
0.1%
7157
 
0.1%
867
 
< 0.1%
Other values (18)173
 
0.1%
(Missing)16656
 
5.7%
ValueCountFrequency (%)
-1670
 
0.2%
0197470
68.0%
153766
 
18.5%
214008
 
4.8%
34568
 
1.6%
ValueCountFrequency (%)
100000011
 
< 0.1%
100000004
 
< 0.1%
999999943
< 0.1%
1091
 
< 0.1%
411
 
< 0.1%

m4_lifetime_played_runs
Real number (ℝ≥0)

MISSING
SKEWED

Distinct124
Distinct (%)< 0.1%
Missing17489
Missing (%)6.0%
Infinite0
Infinite (%)0.0%
Mean3.19572591
Minimum0
Maximum454
Zeros134
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:36.001930image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q12
median2
Q33
95-th percentile6
Maximum454
Range454
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.529842507
Coefficient of variation (CV)1.104551081
Kurtosis2416.013792
Mean3.19572591
Median Absolute Deviation (MAD)0
Skewness31.49690942
Sum871516
Variance12.45978812
MonotonicityNot monotonic
2022-05-23T11:00:36.110639image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2139747
48.2%
368621
23.6%
428704
 
9.9%
513181
 
4.5%
67143
 
2.5%
74041
 
1.4%
82413
 
0.8%
11620
 
0.6%
91542
 
0.5%
101085
 
0.4%
Other values (114)4616
 
1.6%
(Missing)17489
 
6.0%
ValueCountFrequency (%)
0134
 
< 0.1%
11620
 
0.6%
2139747
48.2%
368621
23.6%
428704
 
9.9%
ValueCountFrequency (%)
4541
< 0.1%
3851
< 0.1%
3401
< 0.1%
3021
< 0.1%
2081
< 0.1%

m4_max_run_distance
Real number (ℝ≥0)

MISSING

Distinct5975
Distinct (%)2.2%
Missing17489
Missing (%)6.0%
Infinite0
Infinite (%)0.0%
Mean1982.468085
Minimum0
Maximum57880
Zeros139
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:36.309108image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1158
Q11424
median1792
Q32325
95-th percentile3433
Maximum57880
Range57880
Interquartile range (IQR)901

Descriptive statistics

Standard deviation815.3866784
Coefficient of variation (CV)0.4112987666
Kurtosis102.6943293
Mean1982.468085
Median Absolute Deviation (MAD)424
Skewness3.795823764
Sum540644819
Variance664855.4353
MonotonicityNot monotonic
2022-05-23T11:00:36.422805image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1406264
 
0.1%
1469253
 
0.1%
1425252
 
0.1%
1431250
 
0.1%
1370249
 
0.1%
1439247
 
0.1%
1392247
 
0.1%
1416247
 
0.1%
1294246
 
0.1%
1415246
 
0.1%
Other values (5965)270212
93.1%
(Missing)17489
 
6.0%
ValueCountFrequency (%)
0139
< 0.1%
1081
 
< 0.1%
1192
 
< 0.1%
1211
 
< 0.1%
1231
 
< 0.1%
ValueCountFrequency (%)
578801
< 0.1%
273421
< 0.1%
264521
< 0.1%
246481
< 0.1%
181911
< 0.1%

m4_total_purchases_virtual
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct2070
Distinct (%)0.8%
Missing17500
Missing (%)6.0%
Infinite0
Infinite (%)0.0%
Mean47679.34643
Minimum0
Maximum1243550000
Zeros150302
Zeros (%)51.8%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:36.540994image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32000
95-th percentile6000
Maximum1243550000
Range1243550000
Interquartile range (IQR)2000

Descriptive statistics

Standard deviation3021092.682
Coefficient of variation (CV)63.36271169
Kurtosis111191.6165
Mean47679.34643
Median Absolute Deviation (MAD)0
Skewness299.5996048
Sum1.300225313 × 1010
Variance9.127000991 × 1012
MonotonicityNot monotonic
2022-05-23T11:00:36.667655image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0150302
51.8%
150037762
 
13.0%
400013937
 
4.8%
50010413
 
3.6%
550010125
 
3.5%
30009163
 
3.2%
45007185
 
2.5%
20005496
 
1.9%
60005240
 
1.8%
10004460
 
1.5%
Other values (2060)18619
 
6.4%
(Missing)17500
 
6.0%
ValueCountFrequency (%)
0150302
51.8%
50010413
 
3.6%
10004460
 
1.5%
150037762
 
13.0%
20005496
 
1.9%
ValueCountFrequency (%)
12435500001
< 0.1%
4800000001
< 0.1%
4635470001
< 0.1%
3938560001
< 0.1%
2235480001
< 0.1%

m4_total_ads_watched
Real number (ℝ≥0)

MISSING
ZEROS

Distinct67
Distinct (%)< 0.1%
Missing17501
Missing (%)6.0%
Infinite0
Infinite (%)0.0%
Mean0.8668175034
Minimum0
Maximum198
Zeros161976
Zeros (%)55.8%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:36.788332image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum198
Range198
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.844684278
Coefficient of variation (CV)2.128111477
Kurtosis806.4638822
Mean0.8668175034
Median Absolute Deviation (MAD)0
Skewness14.71035001
Sum236382
Variance3.402860084
MonotonicityNot monotonic
2022-05-23T11:00:36.906018image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0161976
55.8%
158010
 
20.0%
225546
 
8.8%
311808
 
4.1%
46259
 
2.2%
53546
 
1.2%
62038
 
0.7%
71179
 
0.4%
8674
 
0.2%
9428
 
0.1%
Other values (57)1237
 
0.4%
(Missing)17501
 
6.0%
ValueCountFrequency (%)
0161976
55.8%
158010
 
20.0%
225546
 
8.8%
311808
 
4.1%
46259
 
2.2%
ValueCountFrequency (%)
1981
< 0.1%
1121
< 0.1%
1011
< 0.1%
962
< 0.1%
942
< 0.1%

m4_total_purchases_real
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct282
Distinct (%)0.1%
Missing17506
Missing (%)6.0%
Infinite0
Infinite (%)0.0%
Mean0.01619444363
Minimum0
Maximum78.76
Zeros271840
Zeros (%)93.7%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:37.031682image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum78.76
Range78.76
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5313159847
Coefficient of variation (CV)32.80853587
Kurtosis7296.923732
Mean0.01619444363
Median Absolute Deviation (MAD)0
Skewness71.06021205
Sum4416.16
Variance0.2822966756
MonotonicityNot monotonic
2022-05-23T11:00:37.147372image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0271840
93.7%
1.9988
 
< 0.1%
0.4854
 
< 0.1%
4.9852
 
< 0.1%
2.9941
 
< 0.1%
3.9936
 
< 0.1%
0.4932
 
< 0.1%
0.9928
 
< 0.1%
0.3724
 
< 0.1%
7.9820
 
< 0.1%
Other values (272)481
 
0.2%
(Missing)17506
 
6.0%
ValueCountFrequency (%)
0271840
93.7%
0.1114
 
< 0.1%
0.142
 
< 0.1%
0.224
 
< 0.1%
0.314
 
< 0.1%
ValueCountFrequency (%)
78.761
< 0.1%
73.931
< 0.1%
67.831
< 0.1%
64.971
< 0.1%
61.981
< 0.1%

m4_geo_country
Categorical

HIGH CARDINALITY
MISSING

Distinct219
Distinct (%)0.1%
Missing16874
Missing (%)5.8%
Memory size2.2 MiB
United States
45843 
Mexico
34735 
Brazil
 
13403
France
 
11406
Russia
 
10957
Other values (214)
156984 

Unique

Unique15 ?
Unique (%)< 0.1%

Sample

1st rowHonduras
2nd rowBelgium
3rd rowVietnam
4th rowTaiwan
5th rowBangladesh

Common Values

ValueCountFrequency (%)
United States45843
15.8%
Mexico34735
 
12.0%
Brazil13403
 
4.6%
France11406
 
3.9%
Russia10957
 
3.8%
India9745
 
3.4%
Germany9330
 
3.2%
United Kingdom8451
 
2.9%
Turkey8440
 
2.9%
Colombia6957
 
2.4%
Other values (209)114061
39.3%
(Missing)16874
 
5.8%

m4_days_played_in_month
Real number (ℝ)

MISSING
SKEWED
ZEROS

Distinct19
Distinct (%)< 0.1%
Missing17490
Missing (%)6.0%
Infinite0
Infinite (%)0.0%
Mean550.3178298
Minimum-1
Maximum9999999
Zeros210295
Zeros (%)72.5%
Negative703
Negative (%)0.2%
Memory size2.2 MiB
2022-05-23T11:00:37.257079image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9999999
Range10000000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation74162.14827
Coefficient of variation (CV)134.7623941
Kurtosis18176.13332
Mean550.3178298
Median Absolute Deviation (MAD)0
Skewness134.8258136
Sum150078276
Variance5500024236
MonotonicityNot monotonic
2022-05-23T11:00:37.348847image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0210295
72.5%
149140
 
16.9%
29390
 
3.2%
32236
 
0.8%
-1703
 
0.2%
4594
 
0.2%
5220
 
0.1%
655
 
< 0.1%
727
 
< 0.1%
817
 
< 0.1%
Other values (9)35
 
< 0.1%
(Missing)17490
 
6.0%
ValueCountFrequency (%)
-1703
 
0.2%
0210295
72.5%
149140
 
16.9%
29390
 
3.2%
32236
 
0.8%
ValueCountFrequency (%)
999999915
< 0.1%
241
 
< 0.1%
171
 
< 0.1%
161
 
< 0.1%
141
 
< 0.1%

m4_virtual_currency_balance
Real number (ℝ≥0)

MISSING
SKEWED

Distinct13479
Distinct (%)4.9%
Missing17489
Missing (%)6.0%
Infinite0
Infinite (%)0.0%
Mean514313.854
Minimum0
Maximum2146000000
Zeros22
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:37.457556image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile839
Q14255
median5710
Q36227
95-th percentile7250
Maximum2146000000
Range2146000000
Interquartile range (IQR)1972

Descriptive statistics

Standard deviation22664073.62
Coefficient of variation (CV)44.06662088
Kurtosis3696.217289
Mean514313.854
Median Absolute Deviation (MAD)726
Skewness57.76220075
Sum1.402600741 × 1011
Variance5.13660233 × 1014
MonotonicityNot monotonic
2022-05-23T11:00:37.570255image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5732204
 
0.1%
5719204
 
0.1%
5664203
 
0.1%
5685201
 
0.1%
5727201
 
0.1%
5690199
 
0.1%
5682199
 
0.1%
5686198
 
0.1%
5627197
 
0.1%
5705197
 
0.1%
Other values (13469)270710
93.3%
(Missing)17489
 
6.0%
ValueCountFrequency (%)
022
< 0.1%
17
 
< 0.1%
216
< 0.1%
39
< 0.1%
49
< 0.1%
ValueCountFrequency (%)
21460000001
< 0.1%
20947465281
< 0.1%
20941029341
< 0.1%
19961500001
< 0.1%
19956200001
< 0.1%

m4_event_timestamp
Categorical

HIGH CARDINALITY
MISSING

Distinct273533
Distinct (%)> 99.9%
Missing16653
Missing (%)5.7%
Memory size2.2 MiB
2022-02-05 19:42:39.46 UTC
 
2
2022-02-11 11:39:15.276 UTC
 
2
2022-02-02 10:37:40.422 UTC
 
2
2022-02-13 21:33:40.621 UTC
 
2
2022-02-26 10:56:03.277 UTC
 
2
Other values (273528)
273539 

Unique

Unique273517 ?
Unique (%)> 99.9%

Sample

1st row2022-03-05 17:52:48.383 UTC
2nd row2022-02-04 21:18:18.761 UTC
3rd row2022-02-19 04:26:26.774 UTC
4th row2022-02-25 09:10:18.692 UTC
5th row2022-02-15 05:31:38.882 UTC

Common Values

ValueCountFrequency (%)
2022-02-05 19:42:39.46 UTC2
 
< 0.1%
2022-02-11 11:39:15.276 UTC2
 
< 0.1%
2022-02-02 10:37:40.422 UTC2
 
< 0.1%
2022-02-13 21:33:40.621 UTC2
 
< 0.1%
2022-02-26 10:56:03.277 UTC2
 
< 0.1%
2022-02-08 13:20:32.112 UTC2
 
< 0.1%
2022-02-14 08:58:41.465 UTC2
 
< 0.1%
2022-02-13 20:40:36.104 UTC2
 
< 0.1%
2022-02-07 20:01:59.893 UTC2
 
< 0.1%
2022-02-14 18:12:59.88 UTC2
 
< 0.1%
Other values (273523)273529
94.3%
(Missing)16653
 
5.7%

m5_mission_completed
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing15171
Missing (%)5.2%
Infinite0
Infinite (%)0.0%
Mean7
Minimum7
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:37.675972image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile7
Q17
median7
Q37
95-th percentile7
Maximum7
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean7
Median Absolute Deviation (MAD)0
Skewness0
Sum1925217
Variance0
MonotonicityIncreasing
2022-05-23T11:00:37.743791image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
7275031
94.8%
(Missing)15171
 
5.2%
ValueCountFrequency (%)
7275031
94.8%
ValueCountFrequency (%)
7275031
94.8%

m5_mission_id
Categorical

HIGH CARDINALITY
MISSING

Distinct146
Distinct (%)0.1%
Missing15171
Missing (%)5.2%
Memory size2.2 MiB
Mission3
114223 
Mission114
73172 
Mission11
55476 
Mission6
22038 
Mission115
 
5679
Other values (141)
 
4443

Unique

Unique61 ?
Unique (%)< 0.1%

Sample

1st rowMission3
2nd rowMission114
3rd rowMission3
4th rowMission114
5th rowMission3

Common Values

ValueCountFrequency (%)
Mission3114223
39.4%
Mission11473172
25.2%
Mission1155476
19.1%
Mission622038
 
7.6%
Mission1155679
 
2.0%
Mission1092369
 
0.8%
Mission113934
 
0.3%
Mission94416
 
0.1%
Mission19234
 
0.1%
Mission12294
 
< 0.1%
Other values (136)396
 
0.1%
(Missing)15171
 
5.2%

m5_mission_difficulty
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing15171
Missing (%)5.2%
Infinite0
Infinite (%)0.0%
Mean1.003290538
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:37.816596image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0575222581
Coefficient of variation (CV)0.0573335997
Kurtosis312.1191414
Mean1.003290538
Median Absolute Deviation (MAD)0
Skewness17.57544598
Sum275936
Variance0.003308810177
MonotonicityNot monotonic
2022-05-23T11:00:37.892393image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1274130
94.5%
2897
 
0.3%
34
 
< 0.1%
(Missing)15171
 
5.2%
ValueCountFrequency (%)
1274130
94.5%
2897
 
0.3%
34
 
< 0.1%
ValueCountFrequency (%)
34
 
< 0.1%
2897
 
0.3%
1274130
94.5%

m5_mission_stars_collected
Real number (ℝ≥0)

MISSING
SKEWED

Distinct30
Distinct (%)< 0.1%
Missing15171
Missing (%)5.2%
Infinite0
Infinite (%)0.0%
Mean6.436107202
Minimum1
Maximum1765
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:38.079892image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q16
median7
Q37
95-th percentile7
Maximum1765
Range1764
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.479295555
Coefficient of variation (CV)0.5405900563
Kurtosis237415.0639
Mean6.436107202
Median Absolute Deviation (MAD)0
Skewness471.0892842
Sum1770129
Variance12.10549756
MonotonicityNot monotonic
2022-05-23T11:00:38.175143image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
7145480
50.1%
688459
30.5%
536858
 
12.7%
83292
 
1.1%
9613
 
0.2%
4128
 
< 0.1%
1075
 
< 0.1%
1154
 
< 0.1%
317
 
< 0.1%
129
 
< 0.1%
Other values (20)46
 
< 0.1%
(Missing)15171
 
5.2%
ValueCountFrequency (%)
11
 
< 0.1%
24
 
< 0.1%
317
 
< 0.1%
4128
 
< 0.1%
536858
12.7%
ValueCountFrequency (%)
17651
< 0.1%
2691
< 0.1%
751
< 0.1%
441
< 0.1%
411
< 0.1%

m5_day_auto_increment
Real number (ℝ)

MISSING
SKEWED
ZEROS

Distinct33
Distinct (%)< 0.1%
Missing15174
Missing (%)5.2%
Infinite0
Infinite (%)0.0%
Mean1782.153017
Minimum-1
Maximum10000001
Zeros182907
Zeros (%)63.0%
Negative717
Negative (%)0.2%
Memory size2.2 MiB
2022-05-23T11:00:38.276871image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum10000001
Range10000002
Interquartile range (IQR)1

Descriptive statistics

Standard deviation133466.3007
Coefficient of variation (CV)74.89048329
Kurtosis5607.918477
Mean1782.153017
Median Absolute Deviation (MAD)0
Skewness74.89911679
Sum490141980
Variance1.781325343 × 1010
MonotonicityNot monotonic
2022-05-23T11:00:38.384583image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0182907
63.0%
161809
 
21.3%
218110
 
6.2%
36486
 
2.2%
42634
 
0.9%
51182
 
0.4%
-1717
 
0.2%
6513
 
0.2%
7245
 
0.1%
8121
 
< 0.1%
Other values (23)304
 
0.1%
(Missing)15174
 
5.2%
ValueCountFrequency (%)
-1717
 
0.2%
0182907
63.0%
161809
 
21.3%
218110
 
6.2%
36486
 
2.2%
ValueCountFrequency (%)
100000011
 
< 0.1%
100000005
 
< 0.1%
999999943
< 0.1%
1091
 
< 0.1%
411
 
< 0.1%

m5_lifetime_played_runs
Real number (ℝ≥0)

MISSING

Distinct144
Distinct (%)0.1%
Missing16013
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean4.294909716
Minimum0
Maximum454
Zeros148
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:38.498278image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q12
median3
Q35
95-th percentile9
Maximum454
Range454
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.563574033
Coefficient of variation (CV)1.062554124
Kurtosis963.2769358
Mean4.294909716
Median Absolute Deviation (MAD)1
Skewness18.87856987
Sum1177617
Variance20.82620795
MonotonicityNot monotonic
2022-05-23T11:00:38.605990image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
382002
28.3%
269430
23.9%
447139
16.2%
526559
 
9.2%
615318
 
5.3%
79520
 
3.3%
86115
 
2.1%
93908
 
1.3%
102907
 
1.0%
112011
 
0.7%
Other values (134)9280
 
3.2%
(Missing)16013
 
5.5%
ValueCountFrequency (%)
0148
 
0.1%
1531
 
0.2%
269430
23.9%
382002
28.3%
447139
16.2%
ValueCountFrequency (%)
4541
< 0.1%
3851
< 0.1%
3451
< 0.1%
3031
< 0.1%
2081
< 0.1%

m5_max_run_distance
Real number (ℝ≥0)

MISSING

Distinct6765
Distinct (%)2.5%
Missing16014
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean2279.143712
Minimum0
Maximum57880
Zeros149
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:38.718196image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1234
Q11599
median2073
Q32659
95-th percentile4121
Maximum57880
Range57880
Interquartile range (IQR)1060

Descriptive statistics

Standard deviation982.9839446
Coefficient of variation (CV)0.4312952885
Kurtosis50.23305589
Mean2279.143712
Median Absolute Deviation (MAD)513
Skewness2.894764658
Sum624913856
Variance966257.4354
MonotonicityNot monotonic
2022-05-23T11:00:38.839887image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1565200
 
0.1%
1575197
 
0.1%
1535195
 
0.1%
1469194
 
0.1%
1555194
 
0.1%
1544193
 
0.1%
1568193
 
0.1%
1470192
 
0.1%
1476192
 
0.1%
1584191
 
0.1%
Other values (6755)272247
93.8%
(Missing)16014
 
5.5%
ValueCountFrequency (%)
0149
0.1%
1061
 
< 0.1%
1211
 
< 0.1%
1221
 
< 0.1%
1252
 
< 0.1%
ValueCountFrequency (%)
578801
< 0.1%
273421
< 0.1%
264521
< 0.1%
246481
< 0.1%
181911
< 0.1%

m5_total_purchases_virtual
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct2139
Distinct (%)0.8%
Missing16025
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean49145.08746
Minimum0
Maximum1243550000
Zeros137405
Zeros (%)47.3%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:38.963556image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33000
95-th percentile6500
Maximum1243550000
Range1243550000
Interquartile range (IQR)3000

Descriptive statistics

Standard deviation3019577.665
Coefficient of variation (CV)61.44210583
Kurtosis110836.1016
Mean49145.08746
Median Absolute Deviation (MAD)0
Skewness298.7364004
Sum1.347445264 × 1010
Variance9.117849274 × 1012
MonotonicityNot monotonic
2022-05-23T11:00:39.090218image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0137405
47.3%
150035536
 
12.2%
400014397
 
5.0%
550011281
 
3.9%
30009704
 
3.3%
60008395
 
2.9%
5008368
 
2.9%
45007739
 
2.7%
10006256
 
2.2%
20005712
 
2.0%
Other values (2129)29384
 
10.1%
(Missing)16025
 
5.5%
ValueCountFrequency (%)
0137405
47.3%
5008368
 
2.9%
10006256
 
2.2%
150035536
 
12.2%
20005712
 
2.0%
ValueCountFrequency (%)
12435500001
< 0.1%
4800000001
< 0.1%
4635470001
< 0.1%
3938560001
< 0.1%
2235480001
< 0.1%

m5_total_ads_watched
Real number (ℝ≥0)

MISSING
ZEROS

Distinct81
Distinct (%)< 0.1%
Missing16022
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean1.489951856
Minimum0
Maximum217
Zeros124398
Zeros (%)42.9%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:39.215882image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile6
Maximum217
Range217
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.570349403
Coefficient of variation (CV)1.725122454
Kurtosis418.2896873
Mean1.489951856
Median Absolute Deviation (MAD)1
Skewness10.4327574
Sum408515
Variance6.606696054
MonotonicityNot monotonic
2022-05-23T11:00:39.324591image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0124398
42.9%
158903
20.3%
235749
 
12.3%
320692
 
7.1%
412274
 
4.2%
57635
 
2.6%
64716
 
1.6%
73075
 
1.1%
81909
 
0.7%
91328
 
0.5%
Other values (71)3501
 
1.2%
(Missing)16022
 
5.5%
ValueCountFrequency (%)
0124398
42.9%
158903
20.3%
235749
 
12.3%
320692
 
7.1%
412274
 
4.2%
ValueCountFrequency (%)
2171
< 0.1%
1661
< 0.1%
1481
< 0.1%
1121
< 0.1%
1011
< 0.1%

m5_total_purchases_real
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct310
Distinct (%)0.1%
Missing16030
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean0.01894409349
Minimum0
Maximum79.91
Zeros273103
Zeros (%)94.1%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:39.440281image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum79.91
Range79.91
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5887473016
Coefficient of variation (CV)31.07814591
Kurtosis6926.667005
Mean0.01894409349
Median Absolute Deviation (MAD)0
Skewness69.80833835
Sum5193.94
Variance0.3466233851
MonotonicityNot monotonic
2022-05-23T11:00:39.556478image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0273103
94.1%
1.99135
 
< 0.1%
0.4872
 
< 0.1%
4.9862
 
< 0.1%
0.4947
 
< 0.1%
2.9941
 
< 0.1%
0.9940
 
< 0.1%
3.9936
 
< 0.1%
0.3731
 
< 0.1%
7.9822
 
< 0.1%
Other values (300)583
 
0.2%
(Missing)16030
 
5.5%
ValueCountFrequency (%)
0273103
94.1%
0.1115
 
< 0.1%
0.143
 
< 0.1%
0.226
 
< 0.1%
0.314
 
< 0.1%
ValueCountFrequency (%)
79.911
< 0.1%
78.761
< 0.1%
73.931
< 0.1%
71.851
< 0.1%
67.831
< 0.1%

m5_geo_country
Categorical

HIGH CARDINALITY
MISSING

Distinct218
Distinct (%)0.1%
Missing15438
Missing (%)5.3%
Memory size2.2 MiB
United States
46139 
Mexico
34901 
Brazil
 
13459
France
 
11456
Russia
 
11002
Other values (213)
157807 

Unique

Unique16 ?
Unique (%)< 0.1%

Sample

1st rowHonduras
2nd rowBelgium
3rd rowVietnam
4th rowTaiwan
5th rowBangladesh

Common Values

ValueCountFrequency (%)
United States46139
15.9%
Mexico34901
 
12.0%
Brazil13459
 
4.6%
France11456
 
3.9%
Russia11002
 
3.8%
India9766
 
3.4%
Germany9388
 
3.2%
United Kingdom8510
 
2.9%
Turkey8471
 
2.9%
Colombia6987
 
2.4%
Other values (208)114685
39.5%
(Missing)15438
 
5.3%

m5_days_played_in_month
Real number (ℝ)

MISSING
SKEWED
ZEROS

Distinct21
Distinct (%)< 0.1%
Missing16015
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean583.911812
Minimum-1
Maximum9999999
Zeros197537
Zeros (%)68.1%
Negative749
Negative (%)0.3%
Memory size2.2 MiB
2022-05-23T11:00:39.666690image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum9999999
Range10000000
Interquartile range (IQR)1

Descriptive statistics

Standard deviation76387.90901
Coefficient of variation (CV)130.8209689
Kurtosis17131.99999
Mean583.911812
Median Absolute Deviation (MAD)0
Skewness130.8964286
Sum160101028
Variance5835112644
MonotonicityNot monotonic
2022-05-23T11:00:39.847712image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0197537
68.1%
157932
 
20.0%
212843
 
4.4%
33410
 
1.2%
41084
 
0.4%
-1749
 
0.3%
5383
 
0.1%
6120
 
< 0.1%
755
 
< 0.1%
822
 
< 0.1%
Other values (11)52
 
< 0.1%
(Missing)16015
 
5.5%
ValueCountFrequency (%)
-1749
 
0.3%
0197537
68.1%
157932
 
20.0%
212843
 
4.4%
33410
 
1.2%
ValueCountFrequency (%)
999999916
< 0.1%
241
 
< 0.1%
181
 
< 0.1%
172
 
< 0.1%
151
 
< 0.1%

m5_virtual_currency_balance
Real number (ℝ≥0)

MISSING
SKEWED

Distinct14811
Distinct (%)5.4%
Missing16013
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean513481.511
Minimum0
Maximum2146000000
Zeros25
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:39.957418image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile652
Q14034
median5933
Q36578
95-th percentile8201.6
Maximum2146000000
Range2146000000
Interquartile range (IQR)2544

Descriptive statistics

Standard deviation22586505.64
Coefficient of variation (CV)43.98698913
Kurtosis3717.671123
Mean513481.511
Median Absolute Deviation (MAD)1000
Skewness57.90011752
Sum1.40790982 × 1011
Variance5.10150237 × 1014
MonotonicityNot monotonic
2022-05-23T11:00:40.073109image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6273169
 
0.1%
6312157
 
0.1%
6345157
 
0.1%
6285153
 
0.1%
6259147
 
0.1%
6214144
 
< 0.1%
6477144
 
< 0.1%
6298144
 
< 0.1%
6261143
 
< 0.1%
6421142
 
< 0.1%
Other values (14801)272689
94.0%
(Missing)16013
 
5.5%
ValueCountFrequency (%)
025
< 0.1%
113
< 0.1%
219
< 0.1%
316
< 0.1%
411
< 0.1%
ValueCountFrequency (%)
21460000001
< 0.1%
20947528781
< 0.1%
20941029341
< 0.1%
19961500001
< 0.1%
19956200001
< 0.1%

m5_event_timestamp
Categorical

HIGH CARDINALITY
MISSING

Distinct275016
Distinct (%)> 99.9%
Missing15171
Missing (%)5.2%
Memory size2.2 MiB
2022-02-25 17:04:40.322 UTC
 
2
2022-02-22 09:38:29.16 UTC
 
2
2022-02-11 11:49:44.198 UTC
 
2
2022-02-13 04:55:12.714 UTC
 
2
2022-02-05 22:32:20.403 UTC
 
2
Other values (275011)
275021 

Unique

Unique275001 ?
Unique (%)> 99.9%

Sample

1st row2022-03-05 17:56:06.473 UTC
2nd row2022-02-04 21:18:26.108 UTC
3rd row2022-02-19 04:28:54.582 UTC
4th row2022-02-25 09:10:19.547 UTC
5th row2022-02-15 05:34:37.177 UTC

Common Values

ValueCountFrequency (%)
2022-02-25 17:04:40.322 UTC2
 
< 0.1%
2022-02-22 09:38:29.16 UTC2
 
< 0.1%
2022-02-11 11:49:44.198 UTC2
 
< 0.1%
2022-02-13 04:55:12.714 UTC2
 
< 0.1%
2022-02-05 22:32:20.403 UTC2
 
< 0.1%
2022-02-05 23:12:24.332 UTC2
 
< 0.1%
2022-02-27 17:52:19.843 UTC2
 
< 0.1%
2022-02-14 01:22:16.965 UTC2
 
< 0.1%
2022-02-06 17:27:32.951 UTC2
 
< 0.1%
2022-02-27 04:37:45.927 UTC2
 
< 0.1%
Other values (275006)275011
94.8%
(Missing)15171
 
5.2%

m6_mission_completed
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing13386
Missing (%)4.6%
Infinite0
Infinite (%)0.0%
Mean8
Minimum8
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:40.182817image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum8
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean8
Median Absolute Deviation (MAD)0
Skewness0
Sum2214528
Variance0
MonotonicityIncreasing
2022-05-23T11:00:40.256618image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
8276816
95.4%
(Missing)13386
 
4.6%
ValueCountFrequency (%)
8276816
95.4%
ValueCountFrequency (%)
8276816
95.4%

m6_mission_id
Categorical

HIGH CARDINALITY
MISSING

Distinct141
Distinct (%)0.1%
Missing13386
Missing (%)4.6%
Memory size2.2 MiB
Mission114
79934 
Mission3
61750 
Mission19
60544 
Mission6
44384 
Mission11
25644 
Other values (136)
 
4560

Unique

Unique59 ?
Unique (%)< 0.1%

Sample

1st rowMission11
2nd rowMission3
3rd rowMission6
4th rowMission11
5th rowMission11

Common Values

ValueCountFrequency (%)
Mission11479934
27.5%
Mission361750
21.3%
Mission1960544
20.9%
Mission644384
15.3%
Mission1125644
 
8.8%
Mission1151877
 
0.6%
Mission1091500
 
0.5%
Mission113333
 
0.1%
Mission94192
 
0.1%
Mission12159
 
0.1%
Other values (131)499
 
0.2%
(Missing)13386
 
4.6%

m6_mission_difficulty
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing13386
Missing (%)4.6%
Infinite0
Infinite (%)0.0%
Mean1.230738108
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:40.332416image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4213402125
Coefficient of variation (CV)0.3423475798
Kurtosis-0.362804222
Mean1.230738108
Median Absolute Deviation (MAD)0
Skewness1.278813852
Sum340688
Variance0.1775275747
MonotonicityNot monotonic
2022-05-23T11:00:40.417204image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1212948
73.4%
263864
 
22.0%
34
 
< 0.1%
(Missing)13386
 
4.6%
ValueCountFrequency (%)
1212948
73.4%
263864
 
22.0%
34
 
< 0.1%
ValueCountFrequency (%)
34
 
< 0.1%
263864
 
22.0%
1212948
73.4%

m6_mission_stars_collected
Real number (ℝ≥0)

MISSING
SKEWED

Distinct31
Distinct (%)< 0.1%
Missing13386
Missing (%)4.6%
Infinite0
Infinite (%)0.0%
Mean7.564429079
Minimum1
Maximum1766
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:40.515940image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q17
median8
Q38
95-th percentile8
Maximum1766
Range1765
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.471421384
Coefficient of variation (CV)0.4589138648
Kurtosis237963.8121
Mean7.564429079
Median Absolute Deviation (MAD)0
Skewness471.1581147
Sum2093955
Variance12.05076642
MonotonicityNot monotonic
2022-05-23T11:00:40.609689image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
8178659
61.6%
756442
 
19.4%
636475
 
12.6%
94060
 
1.4%
10753
 
0.3%
11162
 
0.1%
586
 
< 0.1%
1257
 
< 0.1%
1343
 
< 0.1%
419
 
< 0.1%
Other values (21)60
 
< 0.1%
(Missing)13386
 
4.6%
ValueCountFrequency (%)
11
 
< 0.1%
34
 
< 0.1%
419
 
< 0.1%
586
 
< 0.1%
636475
12.6%
ValueCountFrequency (%)
17661
< 0.1%
2711
< 0.1%
771
< 0.1%
461
< 0.1%
441
< 0.1%

m6_day_auto_increment
Real number (ℝ)

MISSING
SKEWED
ZEROS

Distinct37
Distinct (%)< 0.1%
Missing13388
Missing (%)4.6%
Infinite0
Infinite (%)0.0%
Mean1770.798612
Minimum-1
Maximum10000001
Zeros166821
Zeros (%)57.5%
Negative773
Negative (%)0.3%
Memory size2.2 MiB
2022-05-23T11:00:40.718398image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum10000001
Range10000002
Interquartile range (IQR)1

Descriptive statistics

Standard deviation133035.1157
Coefficient of variation (CV)75.12718544
Kurtosis5644.367456
Mean1770.798612
Median Absolute Deviation (MAD)0
Skewness75.14204332
Sum490181847
Variance1.769834201 × 1010
MonotonicityNot monotonic
2022-05-23T11:00:40.826110image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0166821
57.5%
169451
23.9%
222960
 
7.9%
39029
 
3.1%
43938
 
1.4%
51835
 
0.6%
6867
 
0.3%
-1773
 
0.3%
7418
 
0.1%
8229
 
0.1%
Other values (27)493
 
0.2%
(Missing)13388
 
4.6%
ValueCountFrequency (%)
-1773
 
0.3%
0166821
57.5%
169451
23.9%
222960
 
7.9%
39029
 
3.1%
ValueCountFrequency (%)
100000011
 
< 0.1%
100000005
 
< 0.1%
999999943
< 0.1%
1091
 
< 0.1%
501
 
< 0.1%

m6_lifetime_played_runs
Real number (ℝ≥0)

MISSING

Distinct167
Distinct (%)0.1%
Missing14232
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean5.724767185
Minimum0
Maximum454
Zeros134
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:40.938809image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median4
Q36
95-th percentile13
Maximum454
Range454
Interquartile range (IQR)3

Descriptive statistics

Standard deviation5.932531738
Coefficient of variation (CV)1.036292228
Kurtosis530.4779696
Mean5.724767185
Median Absolute Deviation (MAD)1
Skewness14.28163497
Sum1579864
Variance35.19493282
MonotonicityNot monotonic
2022-05-23T11:00:41.057492image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
366214
22.8%
455162
19.0%
538163
13.2%
625738
 
8.9%
224097
 
8.3%
717081
 
5.9%
811921
 
4.1%
98167
 
2.8%
105892
 
2.0%
114394
 
1.5%
Other values (157)19141
 
6.6%
(Missing)14232
 
4.9%
ValueCountFrequency (%)
0134
 
< 0.1%
1467
 
0.2%
224097
 
8.3%
366214
22.8%
455162
19.0%
ValueCountFrequency (%)
4541
< 0.1%
4021
< 0.1%
3861
< 0.1%
3641
< 0.1%
3031
< 0.1%

m6_max_run_distance
Real number (ℝ≥0)

MISSING

Distinct7284
Distinct (%)2.6%
Missing14233
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean2591.635532
Minimum0
Maximum57880
Zeros135
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:41.167198image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1346
Q11849
median2353
Q33055
95-th percentile4652
Maximum57880
Range57880
Interquartile range (IQR)1206

Descriptive statistics

Standard deviation1100.617323
Coefficient of variation (CV)0.4246805964
Kurtosis32.60999215
Mean2591.635532
Median Absolute Deviation (MAD)577
Skewness2.408922652
Sum715211066
Variance1211358.492
MonotonicityNot monotonic
2022-05-23T11:00:41.276905image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1993173
 
0.1%
2313170
 
0.1%
2098169
 
0.1%
2159168
 
0.1%
2241167
 
0.1%
2306167
 
0.1%
2244167
 
0.1%
2309166
 
0.1%
2299166
 
0.1%
2091166
 
0.1%
Other values (7274)274290
94.5%
(Missing)14233
 
4.9%
ValueCountFrequency (%)
0135
< 0.1%
1131
 
< 0.1%
1141
 
< 0.1%
1211
 
< 0.1%
1221
 
< 0.1%
ValueCountFrequency (%)
578801
< 0.1%
273421
< 0.1%
264521
< 0.1%
246481
< 0.1%
188761
< 0.1%

m6_total_purchases_virtual
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct2217
Distinct (%)0.8%
Missing14242
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean50269.55252
Minimum0
Maximum1243550000
Zeros125116
Zeros (%)43.1%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:41.394590image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1000
Q34000
95-th percentile8000
Maximum1243550000
Range1243550000
Interquartile range (IQR)4000

Descriptive statistics

Standard deviation3010559.195
Coefficient of variation (CV)59.88832294
Kurtosis111444.9808
Mean50269.55252
Median Absolute Deviation (MAD)1000
Skewness299.4812651
Sum1.387238571 × 1010
Variance9.063466668 × 1012
MonotonicityNot monotonic
2022-05-23T11:00:41.516265image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0125116
43.1%
150033223
 
11.4%
400014460
 
5.0%
550011575
 
4.0%
60009999
 
3.4%
30009764
 
3.4%
45007931
 
2.7%
10007250
 
2.5%
5006768
 
2.3%
65006055
 
2.1%
Other values (2207)43819
 
15.1%
(Missing)14242
 
4.9%
ValueCountFrequency (%)
0125116
43.1%
5006768
 
2.3%
10007250
 
2.5%
150033223
 
11.4%
20005695
 
2.0%
ValueCountFrequency (%)
12435500001
< 0.1%
4800000001
< 0.1%
4635470001
< 0.1%
3938560001
< 0.1%
2235480001
< 0.1%

m6_total_ads_watched
Real number (ℝ≥0)

MISSING
ZEROS

Distinct93
Distinct (%)< 0.1%
Missing14237
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean2.245545631
Minimum0
Maximum220
Zeros99622
Zeros (%)34.3%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:41.722713image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile8
Maximum220
Range220
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.356657323
Coefficient of variation (CV)1.494806998
Kurtosis238.0541715
Mean2.245545631
Median Absolute Deviation (MAD)1
Skewness7.879716948
Sum619692
Variance11.26714839
MonotonicityNot monotonic
2022-05-23T11:00:41.830425image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
099622
34.3%
148174
16.6%
239712
 
13.7%
327459
 
9.5%
418480
 
6.4%
512618
 
4.3%
68547
 
2.9%
75943
 
2.0%
84093
 
1.4%
92831
 
1.0%
Other values (83)8486
 
2.9%
(Missing)14237
 
4.9%
ValueCountFrequency (%)
099622
34.3%
148174
16.6%
239712
 
13.7%
327459
 
9.5%
418480
 
6.4%
ValueCountFrequency (%)
2201
< 0.1%
2011
< 0.1%
1671
< 0.1%
1531
< 0.1%
1501
< 0.1%

m6_total_purchases_real
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct359
Distinct (%)0.1%
Missing14247
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean0.02213813846
Minimum0
Maximum94.7
Zeros274542
Zeros (%)94.6%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:41.939134image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum94.7
Range94.7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6223809781
Coefficient of variation (CV)28.11351908
Kurtosis6724.064448
Mean0.02213813846
Median Absolute Deviation (MAD)0
Skewness67.45228441
Sum6109.13
Variance0.3873580819
MonotonicityNot monotonic
2022-05-23T11:00:42.052830image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0274542
94.6%
1.99191
 
0.1%
0.48111
 
< 0.1%
0.4970
 
< 0.1%
4.9868
 
< 0.1%
0.9957
 
< 0.1%
2.9945
 
< 0.1%
0.3742
 
< 0.1%
3.9939
 
< 0.1%
0.3827
 
< 0.1%
Other values (349)763
 
0.3%
(Missing)14247
 
4.9%
ValueCountFrequency (%)
0274542
94.6%
0.1122
 
< 0.1%
0.143
 
< 0.1%
0.228
 
< 0.1%
0.315
 
< 0.1%
ValueCountFrequency (%)
94.71
< 0.1%
79.911
< 0.1%
73.931
< 0.1%
71.851
< 0.1%
67.831
< 0.1%

m6_geo_country
Categorical

HIGH CARDINALITY
MISSING

Distinct219
Distinct (%)0.1%
Missing13710
Missing (%)4.7%
Memory size2.2 MiB
United States
46502 
Mexico
35111 
Brazil
 
13542
France
 
11518
Russia
 
11061
Other values (214)
158758 

Unique

Unique17 ?
Unique (%)< 0.1%

Sample

1st rowHonduras
2nd rowBelgium
3rd rowVietnam
4th rowTaiwan
5th rowBangladesh

Common Values

ValueCountFrequency (%)
United States46502
16.0%
Mexico35111
 
12.1%
Brazil13542
 
4.7%
France11518
 
4.0%
Russia11061
 
3.8%
India9790
 
3.4%
Germany9446
 
3.3%
United Kingdom8588
 
3.0%
Turkey8536
 
2.9%
Colombia7010
 
2.4%
Other values (209)115388
39.8%
(Missing)13710
 
4.7%

m6_days_played_in_month
Real number (ℝ)

MISSING
SKEWED
ZEROS

Distinct21
Distinct (%)< 0.1%
Missing14234
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean580.2448182
Minimum-1
Maximum9999999
Zeros183316
Zeros (%)63.2%
Negative810
Negative (%)0.3%
Memory size2.2 MiB
2022-05-23T11:00:42.151566image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum9999999
Range10000000
Interquartile range (IQR)1

Descriptive statistics

Standard deviation76141.03243
Coefficient of variation (CV)131.2222532
Kurtosis17243.31249
Mean580.2448182
Median Absolute Deviation (MAD)0
Skewness131.3209333
Sum160129002
Variance5797456820
MonotonicityNot monotonic
2022-05-23T11:00:42.244318image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0183316
63.2%
166609
 
23.0%
217216
 
5.9%
35219
 
1.8%
41694
 
0.6%
-1810
 
0.3%
5659
 
0.2%
6230
 
0.1%
797
 
< 0.1%
843
 
< 0.1%
Other values (11)75
 
< 0.1%
(Missing)14234
 
4.9%
ValueCountFrequency (%)
-1810
 
0.3%
0183316
63.2%
166609
 
23.0%
217216
 
5.9%
35219
 
1.8%
ValueCountFrequency (%)
999999916
< 0.1%
191
 
< 0.1%
182
 
< 0.1%
172
 
< 0.1%
151
 
< 0.1%

m6_virtual_currency_balance
Real number (ℝ≥0)

MISSING
SKEWED

Distinct16519
Distinct (%)6.0%
Missing14232
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean516319.3899
Minimum0
Maximum2146000000
Zeros24
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:42.353028image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile498
Q13512
median6231
Q37061
95-th percentile9349
Maximum2146000000
Range2146000000
Interquartile range (IQR)3549

Descriptive statistics

Standard deviation22579367.3
Coefficient of variation (CV)43.73139522
Kurtosis3705.548894
Mean516319.3899
Median Absolute Deviation (MAD)1392
Skewness57.77363696
Sum1.42488662 × 1011
Variance5.098278277 × 1014
MonotonicityNot monotonic
2022-05-23T11:00:42.466723image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6547122
 
< 0.1%
99614700120
 
< 0.1%
6406120
 
< 0.1%
6422117
 
< 0.1%
6472116
 
< 0.1%
6694116
 
< 0.1%
6701116
 
< 0.1%
6537115
 
< 0.1%
6582115
 
< 0.1%
6488113
 
< 0.1%
Other values (16509)274800
94.7%
(Missing)14232
 
4.9%
ValueCountFrequency (%)
024
< 0.1%
119
< 0.1%
219
< 0.1%
320
< 0.1%
418
< 0.1%
ValueCountFrequency (%)
21460000001
< 0.1%
20947523781
< 0.1%
20941029341
< 0.1%
20000000001
< 0.1%
19961400001
< 0.1%

m6_event_timestamp
Categorical

HIGH CARDINALITY
MISSING

Distinct276801
Distinct (%)> 99.9%
Missing13386
Missing (%)4.6%
Memory size2.2 MiB
2022-02-16 14:02:32.326 UTC
 
2
2022-02-24 17:32:52.145 UTC
 
2
2022-02-12 14:47:44.993 UTC
 
2
2022-02-26 11:54:07.085 UTC
 
2
2022-02-11 11:50:11.498 UTC
 
2
Other values (276796)
276806 

Unique

Unique276786 ?
Unique (%)> 99.9%

Sample

1st row2022-03-14 02:00:06.716 UTC
2nd row2022-02-04 21:22:22.796 UTC
3rd row2022-02-19 04:29:17.305 UTC
4th row2022-02-25 09:10:24.558 UTC
5th row2022-02-15 14:54:06.978 UTC

Common Values

ValueCountFrequency (%)
2022-02-16 14:02:32.326 UTC2
 
< 0.1%
2022-02-24 17:32:52.145 UTC2
 
< 0.1%
2022-02-12 14:47:44.993 UTC2
 
< 0.1%
2022-02-26 11:54:07.085 UTC2
 
< 0.1%
2022-02-11 11:50:11.498 UTC2
 
< 0.1%
2022-02-21 13:01:06.844 UTC2
 
< 0.1%
2022-02-13 06:35:55.41 UTC2
 
< 0.1%
2022-02-04 01:22:16.015 UTC2
 
< 0.1%
2022-02-16 09:17:23.956 UTC2
 
< 0.1%
2022-02-06 02:20:36.205 UTC2
 
< 0.1%
Other values (276791)276796
95.4%
(Missing)13386
 
4.6%

m7_mission_completed
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing11269
Missing (%)3.9%
Infinite0
Infinite (%)0.0%
Mean9
Minimum9
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:42.575937image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile9
Q19
median9
Q39
95-th percentile9
Maximum9
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean9
Median Absolute Deviation (MAD)0
Skewness0
Sum2510397
Variance0
MonotonicityIncreasing
2022-05-23T11:00:42.645750image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
9278933
96.1%
(Missing)11269
 
3.9%
ValueCountFrequency (%)
9278933
96.1%
ValueCountFrequency (%)
9278933
96.1%

m7_mission_id
Categorical

HIGH CARDINALITY
MISSING

Distinct152
Distinct (%)0.1%
Missing11269
Missing (%)3.9%
Memory size2.2 MiB
Mission19
102597 
Mission6
66884 
Mission114
42895 
Mission12
33684 
Mission3
21655 
Other values (147)
11218 

Unique

Unique63 ?
Unique (%)< 0.1%

Sample

1st rowMission19
2nd rowMission19
3rd rowMission19
4th rowMission19
5th rowMission19

Common Values

ValueCountFrequency (%)
Mission19102597
35.4%
Mission666884
23.0%
Mission11442895
14.8%
Mission1233684
 
11.6%
Mission321655
 
7.5%
Mission118436
 
2.9%
Mission109882
 
0.3%
Mission115605
 
0.2%
Mission86598
 
0.2%
Mission113143
 
< 0.1%
Other values (142)554
 
0.2%
(Missing)11269
 
3.9%

m7_mission_difficulty
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing11269
Missing (%)3.9%
Infinite0
Infinite (%)0.0%
Mean1.508796019
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:42.722545image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4999306914
Coefficient of variation (CV)0.3313441215
Kurtosis-1.998552496
Mean1.508796019
Median Absolute Deviation (MAD)0
Skewness-0.03510363245
Sum420853
Variance0.2499306963
MonotonicityNot monotonic
2022-05-23T11:00:42.804325image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2141918
48.9%
1137014
47.2%
31
 
< 0.1%
(Missing)11269
 
3.9%
ValueCountFrequency (%)
1137014
47.2%
2141918
48.9%
31
 
< 0.1%
ValueCountFrequency (%)
31
 
< 0.1%
2141918
48.9%
1137014
47.2%

m7_mission_stars_collected
Real number (ℝ≥0)

MISSING
SKEWED

Distinct32
Distinct (%)< 0.1%
Missing11269
Missing (%)3.9%
Infinite0
Infinite (%)0.0%
Mean8.83034277
Minimum3
Maximum1768
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:42.903061image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile7
Q18
median9
Q39
95-th percentile10
Maximum1768
Range1765
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.474777189
Coefficient of variation (CV)0.3935042251
Kurtosis235640.4353
Mean8.83034277
Median Absolute Deviation (MAD)0
Skewness466.8654078
Sum2463074
Variance12.07407652
MonotonicityNot monotonic
2022-05-23T11:00:43.004790image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
9147266
50.7%
868744
23.7%
1045073
 
15.5%
715602
 
5.4%
111558
 
0.5%
12339
 
0.1%
1494
 
< 0.1%
1380
 
< 0.1%
673
 
< 0.1%
1531
 
< 0.1%
Other values (22)73
 
< 0.1%
(Missing)11269
 
3.9%
ValueCountFrequency (%)
31
 
< 0.1%
43
 
< 0.1%
516
 
< 0.1%
673
 
< 0.1%
715602
5.4%
ValueCountFrequency (%)
17681
< 0.1%
2721
< 0.1%
941
< 0.1%
801
< 0.1%
451
< 0.1%

m7_day_auto_increment
Real number (ℝ)

MISSING
SKEWED
ZEROS

Distinct38
Distinct (%)< 0.1%
Missing11271
Missing (%)3.9%
Infinite0
Infinite (%)0.0%
Mean1757.546866
Minimum-1
Maximum10000001
Zeros148822
Zeros (%)51.3%
Negative849
Negative (%)0.3%
Memory size2.2 MiB
2022-05-23T11:00:43.113499image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum10000001
Range10000002
Interquartile range (IQR)1

Descriptive statistics

Standard deviation132529.3915
Coefficient of variation (CV)75.40589333
Kurtosis5687.571536
Mean1757.546866
Median Absolute Deviation (MAD)0
Skewness75.42897821
Sum490234305
Variance1.756403962 × 1010
MonotonicityNot monotonic
2022-05-23T11:00:43.223206image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0148822
51.3%
176185
26.3%
228449
 
9.8%
312330
 
4.2%
45892
 
2.0%
52889
 
1.0%
61453
 
0.5%
-1849
 
0.3%
7795
 
0.3%
8398
 
0.1%
Other values (28)869
 
0.3%
(Missing)11271
 
3.9%
ValueCountFrequency (%)
-1849
 
0.3%
0148822
51.3%
176185
26.3%
228449
 
9.8%
312330
 
4.2%
ValueCountFrequency (%)
100000011
 
< 0.1%
100000006
 
< 0.1%
999999942
< 0.1%
1091
 
< 0.1%
502
 
< 0.1%

m7_lifetime_played_runs
Real number (ℝ≥0)

MISSING

Distinct186
Distinct (%)0.1%
Missing12122
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean7.506181674
Minimum0
Maximum454
Zeros130
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:43.337912image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q14
median6
Q39
95-th percentile18
Maximum454
Range454
Interquartile range (IQR)5

Descriptive statistics

Standard deviation7.166511855
Coefficient of variation (CV)0.9547479885
Kurtosis291.0291267
Mean7.506181674
Median Absolute Deviation (MAD)2
Skewness10.30413469
Sum2087319
Variance51.35889216
MonotonicityNot monotonic
2022-05-23T11:00:43.535384image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
447291
16.3%
540886
14.1%
336774
12.7%
632238
11.1%
724254
8.4%
818492
 
6.4%
913959
 
4.8%
1010331
 
3.6%
118043
 
2.8%
27051
 
2.4%
Other values (176)38761
13.4%
(Missing)12122
 
4.2%
ValueCountFrequency (%)
0130
 
< 0.1%
1422
 
0.1%
27051
 
2.4%
336774
12.7%
447291
16.3%
ValueCountFrequency (%)
4541
< 0.1%
4021
< 0.1%
3861
< 0.1%
3751
< 0.1%
3091
< 0.1%

m7_max_run_distance
Real number (ℝ≥0)

MISSING

Distinct7842
Distinct (%)2.8%
Missing12123
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean2831.520384
Minimum0
Maximum57880
Zeros130
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:43.647085image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1466
Q12048
median2576
Q33342
95-th percentile5019.1
Maximum57880
Range57880
Interquartile range (IQR)1294

Descriptive statistics

Standard deviation1181.677393
Coefficient of variation (CV)0.4173296438
Kurtosis26.07838316
Mean2831.520384
Median Absolute Deviation (MAD)615
Skewness2.29094685
Sum787386357
Variance1396361.462
MonotonicityNot monotonic
2022-05-23T11:00:43.759784image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2306180
 
0.1%
2159168
 
0.1%
2309167
 
0.1%
2445166
 
0.1%
2299163
 
0.1%
2384162
 
0.1%
2276162
 
0.1%
2123162
 
0.1%
2322161
 
0.1%
2284161
 
0.1%
Other values (7832)276427
95.3%
(Missing)12123
 
4.2%
ValueCountFrequency (%)
0130
< 0.1%
1221
 
< 0.1%
1261
 
< 0.1%
1271
 
< 0.1%
1281
 
< 0.1%
ValueCountFrequency (%)
578801
< 0.1%
273421
< 0.1%
264521
< 0.1%
246481
< 0.1%
223711
< 0.1%

m7_total_purchases_virtual
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct2293
Distinct (%)0.8%
Missing12131
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean55423.52813
Minimum0
Maximum1243550000
Zeros112407
Zeros (%)38.7%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:43.878466image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1500
Q35500
95-th percentile10000
Maximum1243550000
Range1243550000
Interquartile range (IQR)5500

Descriptive statistics

Standard deviation3631926.907
Coefficient of variation (CV)65.53041694
Kurtosis80695.21132
Mean55423.52813
Median Absolute Deviation (MAD)1500
Skewness264.6915954
Sum1.541167589 × 1010
Variance1.319089305 × 1013
MonotonicityNot monotonic
2022-05-23T11:00:44.000141image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0112407
38.7%
150030647
 
10.6%
400013506
 
4.7%
550010722
 
3.7%
60009670
 
3.3%
30009248
 
3.2%
45007520
 
2.6%
75007480
 
2.6%
10007390
 
2.5%
70006888
 
2.4%
Other values (2283)62593
21.6%
(Missing)12131
 
4.2%
ValueCountFrequency (%)
0112407
38.7%
5005814
 
2.0%
10007390
 
2.5%
150030647
 
10.6%
20005291
 
1.8%
ValueCountFrequency (%)
12435500001
< 0.1%
10835500001
< 0.1%
4800000001
< 0.1%
4635470001
< 0.1%
3938560001
< 0.1%

m7_total_ads_watched
Real number (ℝ≥0)

MISSING
ZEROS

Distinct99
Distinct (%)< 0.1%
Missing12126
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean3.136538213
Minimum0
Maximum225
Zeros87802
Zeros (%)30.3%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:44.122813image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q34
95-th percentile11
Maximum225
Range225
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.303224108
Coefficient of variation (CV)1.371966103
Kurtosis109.2136595
Mean3.136538213
Median Absolute Deviation (MAD)2
Skewness5.444467996
Sum872196
Variance18.51773772
MonotonicityNot monotonic
2022-05-23T11:00:44.236509image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
087802
30.3%
236602
12.6%
133838
 
11.7%
329584
 
10.2%
422145
 
7.6%
516465
 
5.7%
612280
 
4.2%
79108
 
3.1%
86812
 
2.3%
95100
 
1.8%
Other values (89)18340
 
6.3%
(Missing)12126
 
4.2%
ValueCountFrequency (%)
087802
30.3%
133838
 
11.7%
236602
12.6%
329584
 
10.2%
422145
 
7.6%
ValueCountFrequency (%)
2251
< 0.1%
2011
< 0.1%
1681
< 0.1%
1571
< 0.1%
1502
< 0.1%

m7_total_purchases_real
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct420
Distinct (%)0.2%
Missing12136
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean0.02715617875
Minimum0
Maximum96.69
Zeros276181
Zeros (%)95.2%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:44.355192image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum96.69
Range96.69
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6803171839
Coefficient of variation (CV)25.05202187
Kurtosis5490.762121
Mean0.02715617875
Median Absolute Deviation (MAD)0
Skewness61.0267545
Sum7551.21
Variance0.4628314707
MonotonicityNot monotonic
2022-05-23T11:00:44.471879image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0276181
95.2%
1.99287
 
0.1%
0.48164
 
0.1%
0.49114
 
< 0.1%
4.9881
 
< 0.1%
0.9975
 
< 0.1%
0.3752
 
< 0.1%
2.9943
 
< 0.1%
3.9941
 
< 0.1%
0.1135
 
< 0.1%
Other values (410)993
 
0.3%
(Missing)12136
 
4.2%
ValueCountFrequency (%)
0276181
95.2%
0.1135
 
< 0.1%
0.131
 
< 0.1%
0.143
 
< 0.1%
0.2210
 
< 0.1%
ValueCountFrequency (%)
96.691
< 0.1%
79.911
< 0.1%
73.941
< 0.1%
73.931
< 0.1%
71.851
< 0.1%

m7_geo_country
Categorical

HIGH CARDINALITY
MISSING

Distinct219
Distinct (%)0.1%
Missing11683
Missing (%)4.0%
Memory size2.2 MiB
United States
46931 
Mexico
35342 
Brazil
 
13653
France
 
11597
Russia
 
11128
Other values (214)
159868 

Unique

Unique16 ?
Unique (%)< 0.1%

Sample

1st rowHonduras
2nd rowBelgium
3rd rowVietnam
4th rowTaiwan
5th rowBangladesh

Common Values

ValueCountFrequency (%)
United States46931
16.2%
Mexico35342
 
12.2%
Brazil13653
 
4.7%
France11597
 
4.0%
Russia11128
 
3.8%
India9836
 
3.4%
Germany9511
 
3.3%
United Kingdom8678
 
3.0%
Turkey8597
 
3.0%
Colombia7054
 
2.4%
Other values (209)116192
40.0%
(Missing)11683
 
4.0%

m7_days_played_in_month
Real number (ℝ)

MISSING
SKEWED
ZEROS

Distinct21
Distinct (%)< 0.1%
Missing12124
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean575.9721014
Minimum-1
Maximum9999999
Zeros167164
Zeros (%)57.6%
Negative890
Negative (%)0.3%
Memory size2.2 MiB
2022-05-23T11:00:44.579592image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum9999999
Range10000000
Interquartile range (IQR)1

Descriptive statistics

Standard deviation75851.62562
Coefficient of variation (CV)131.6932286
Kurtosis17375.18749
Mean575.9721014
Median Absolute Deviation (MAD)0
Skewness131.8220866
Sum160165170
Variance5753469110
MonotonicityNot monotonic
2022-05-23T11:00:44.676333image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0167164
57.6%
174949
25.8%
222532
 
7.8%
37723
 
2.7%
42849
 
1.0%
51110
 
0.4%
-1890
 
0.3%
6450
 
0.2%
7202
 
0.1%
889
 
< 0.1%
Other values (11)120
 
< 0.1%
(Missing)12124
 
4.2%
ValueCountFrequency (%)
-1890
 
0.3%
0167164
57.6%
174949
25.8%
222532
 
7.8%
37723
 
2.7%
ValueCountFrequency (%)
999999916
< 0.1%
201
 
< 0.1%
191
 
< 0.1%
183
 
< 0.1%
151
 
< 0.1%

m7_virtual_currency_balance
Real number (ℝ≥0)

MISSING
SKEWED

Distinct19021
Distinct (%)6.8%
Missing12122
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean514456.9694
Minimum0
Maximum2146000000
Zeros17
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:44.787037image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile482
Q13371
median6615
Q38063
95-th percentile11190
Maximum2146000000
Range2146000000
Interquartile range (IQR)4692

Descriptive statistics

Standard deviation22495531.54
Coefficient of variation (CV)43.7267505
Kurtosis3732.30852
Mean514456.9694
Median Absolute Deviation (MAD)2081
Skewness57.97532777
Sum1.43060194 × 1011
Variance5.060489394 × 1014
MonotonicityNot monotonic
2022-05-23T11:00:44.899735image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99614700120
 
< 0.1%
737973
 
< 0.1%
712571
 
< 0.1%
748271
 
< 0.1%
735970
 
< 0.1%
743169
 
< 0.1%
718169
 
< 0.1%
750369
 
< 0.1%
758268
 
< 0.1%
750268
 
< 0.1%
Other values (19011)277332
95.6%
(Missing)12122
 
4.2%
ValueCountFrequency (%)
017
< 0.1%
117
< 0.1%
210
< 0.1%
321
< 0.1%
423
< 0.1%
ValueCountFrequency (%)
21460000001
< 0.1%
20947519781
< 0.1%
20941038821
< 0.1%
20000000001
< 0.1%
19961400001
< 0.1%

m8_event_timestamp
Categorical

HIGH CARDINALITY
MISSING

Distinct278920
Distinct (%)> 99.9%
Missing11269
Missing (%)3.9%
Memory size2.2 MiB
2022-02-14 01:24:00.226 UTC
 
2
2022-02-19 15:27:27.571 UTC
 
2
2022-02-06 17:41:58.684 UTC
 
2
2022-02-13 17:40:39.244 UTC
 
2
2022-02-12 15:58:48.975 UTC
 
2
Other values (278915)
278923 

Unique

Unique278907 ?
Unique (%)> 99.9%

Sample

1st row2022-03-14 02:00:19.959 UTC
2nd row2022-02-04 21:22:30.976 UTC
3rd row2022-02-19 04:33:45.547 UTC
4th row2022-02-25 09:13:24.8 UTC
5th row2022-02-15 15:03:07.339 UTC

Common Values

ValueCountFrequency (%)
2022-02-14 01:24:00.226 UTC2
 
< 0.1%
2022-02-19 15:27:27.571 UTC2
 
< 0.1%
2022-02-06 17:41:58.684 UTC2
 
< 0.1%
2022-02-13 17:40:39.244 UTC2
 
< 0.1%
2022-02-12 15:58:48.975 UTC2
 
< 0.1%
2022-02-10 17:54:53.904 UTC2
 
< 0.1%
2022-02-28 14:25:29.862 UTC2
 
< 0.1%
2022-02-19 14:07:20.712 UTC2
 
< 0.1%
2022-02-24 16:29:17.559 UTC2
 
< 0.1%
2022-02-19 02:10:59.482 UTC2
 
< 0.1%
Other values (278910)278913
96.1%
(Missing)11269
 
3.9%

m8_mission_completed
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing9107
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean10
Minimum10
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:45.004455image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile10
Q110
median10
Q310
95-th percentile10
Maximum10
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean10
Median Absolute Deviation (MAD)0
Skewness0
Sum2810950
Variance0
MonotonicityIncreasing
2022-05-23T11:00:45.075267image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
10281095
96.9%
(Missing)9107
 
3.1%
ValueCountFrequency (%)
10281095
96.9%
ValueCountFrequency (%)
10281095
96.9%

m8_mission_id
Categorical

HIGH CARDINALITY
MISSING

Distinct148
Distinct (%)0.1%
Missing9107
Missing (%)3.1%
Memory size2.2 MiB
Mission86
146601 
Mission19
46260 
Mission6
37037 
Mission12
26992 
Mission114
 
14492
Other values (143)
 
9713

Unique

Unique62 ?
Unique (%)< 0.1%

Sample

1st rowMission6
2nd rowMission86
3rd rowMission86
4th rowMission12
5th rowMission86

Common Values

ValueCountFrequency (%)
Mission86146601
50.5%
Mission1946260
 
15.9%
Mission637037
 
12.8%
Mission1226992
 
9.3%
Mission11414492
 
5.0%
Mission35916
 
2.0%
Mission112301
 
0.8%
Mission109408
 
0.1%
Mission115284
 
0.1%
Mission10142
 
< 0.1%
Other values (138)662
 
0.2%
(Missing)9107
 
3.1%

m8_mission_difficulty
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing9107
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean1.787434853
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:45.156050image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4091927678
Coefficient of variation (CV)0.2289273744
Kurtosis-0.02503389961
Mean1.787434853
Median Absolute Deviation (MAD)0
Skewness-1.403889876
Sum502439
Variance0.1674387212
MonotonicityNot monotonic
2022-05-23T11:00:45.331088image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2221328
76.3%
159759
 
20.6%
38
 
< 0.1%
(Missing)9107
 
3.1%
ValueCountFrequency (%)
159759
 
20.6%
2221328
76.3%
38
 
< 0.1%
ValueCountFrequency (%)
38
 
< 0.1%
2221328
76.3%
159759
 
20.6%

m8_mission_stars_collected
Real number (ℝ≥0)

MISSING
SKEWED

Distinct37
Distinct (%)< 0.1%
Missing9107
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean10.43431224
Minimum0
Maximum1769
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:45.426339image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q110
median11
Q311
95-th percentile11
Maximum1769
Range1769
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.508464489
Coefficient of variation (CV)0.3362430035
Kurtosis224670.2079
Mean10.43431224
Median Absolute Deviation (MAD)0
Skewness449.6543826
Sum2933033
Variance12.30932307
MonotonicityNot monotonic
2022-05-23T11:00:45.530062image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
11154557
53.3%
1066466
22.9%
929626
 
10.2%
817073
 
5.9%
1211606
 
4.0%
131160
 
0.4%
14267
 
0.1%
1693
 
< 0.1%
1590
 
< 0.1%
767
 
< 0.1%
Other values (27)90
 
< 0.1%
(Missing)9107
 
3.1%
ValueCountFrequency (%)
02
 
< 0.1%
11
 
< 0.1%
31
 
< 0.1%
41
 
< 0.1%
55
< 0.1%
ValueCountFrequency (%)
17691
< 0.1%
2741
< 0.1%
1171
< 0.1%
951
< 0.1%
471
< 0.1%

m8_day_auto_increment
Real number (ℝ)

MISSING
SKEWED
ZEROS

Distinct43
Distinct (%)< 0.1%
Missing9110
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean1815.352824
Minimum-1
Maximum10000001
Zeros134830
Zeros (%)46.5%
Negative892
Negative (%)0.3%
Memory size2.2 MiB
2022-05-23T11:00:45.649251image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median1
Q31
95-th percentile4
Maximum10000001
Range10000002
Interquartile range (IQR)1

Descriptive statistics

Standard deviation134685.9013
Coefficient of variation (CV)74.19268558
Kurtosis5506.705996
Mean1815.352824
Median Absolute Deviation (MAD)1
Skewness74.22039352
Sum510281156
Variance1.814029201 × 1010
MonotonicityNot monotonic
2022-05-23T11:00:45.772919image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0134830
46.5%
180858
27.9%
232623
 
11.2%
315194
 
5.2%
47548
 
2.6%
54009
 
1.4%
62052
 
0.7%
71140
 
0.4%
-1892
 
0.3%
8648
 
0.2%
Other values (33)1298
 
0.4%
(Missing)9110
 
3.1%
ValueCountFrequency (%)
-1892
 
0.3%
0134830
46.5%
180858
27.9%
232623
 
11.2%
315194
 
5.2%
ValueCountFrequency (%)
100000011
 
< 0.1%
100000007
 
< 0.1%
999999943
< 0.1%
1091
 
< 0.1%
511
 
< 0.1%

m8_lifetime_played_runs
Real number (ℝ≥0)

MISSING

Distinct191
Distinct (%)0.1%
Missing9986
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean9.049222742
Minimum0
Maximum454
Zeros144
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:45.897586image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q15
median7
Q310
95-th percentile20
Maximum454
Range454
Interquartile range (IQR)5

Descriptive statistics

Standard deviation7.762275921
Coefficient of variation (CV)0.8577837171
Kurtosis226.8826405
Mean9.049222742
Median Absolute Deviation (MAD)2
Skewness8.950230877
Sum2535737
Variance60.25292747
MonotonicityNot monotonic
2022-05-23T11:00:46.019260image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
535692
12.3%
635389
12.2%
730225
10.4%
428669
9.9%
825482
8.8%
920034
 
6.9%
1015839
 
5.5%
312650
 
4.4%
1112339
 
4.3%
129893
 
3.4%
Other values (181)54004
18.6%
(Missing)9986
 
3.4%
ValueCountFrequency (%)
0144
 
< 0.1%
1391
 
0.1%
25832
 
2.0%
312650
4.4%
428669
9.9%
ValueCountFrequency (%)
4541
< 0.1%
4021
< 0.1%
3871
< 0.1%
3831
< 0.1%
3191
< 0.1%

m8_max_run_distance
Real number (ℝ≥0)

MISSING

Distinct8090
Distinct (%)2.9%
Missing9987
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean2999.682933
Minimum0
Maximum57880
Zeros144
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:46.142929image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1580
Q12196
median2739
Q33531
95-th percentile5226
Maximum57880
Range57880
Interquartile range (IQR)1335

Descriptive statistics

Standard deviation1213.395111
Coefficient of variation (CV)0.4045077892
Kurtosis23.66712248
Mean2999.682933
Median Absolute Deviation (MAD)634
Skewness2.20950389
Sum840556153
Variance1472327.696
MonotonicityNot monotonic
2022-05-23T11:00:46.255135image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2306184
 
0.1%
2384164
 
0.1%
2276159
 
0.1%
2170159
 
0.1%
2440156
 
0.1%
2277156
 
0.1%
2159156
 
0.1%
2445156
 
0.1%
2344155
 
0.1%
2684155
 
0.1%
Other values (8080)278615
96.0%
(Missing)9987
 
3.4%
ValueCountFrequency (%)
0144
< 0.1%
1211
 
< 0.1%
1241
 
< 0.1%
1301
 
< 0.1%
1311
 
< 0.1%
ValueCountFrequency (%)
578801
< 0.1%
273421
< 0.1%
264521
< 0.1%
246481
< 0.1%
223711
< 0.1%

m8_total_purchases_virtual
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct2352
Distinct (%)0.8%
Missing9993
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean56265.67873
Minimum0
Maximum1243550000
Zeros103590
Zeros (%)35.7%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:46.379814image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1500
Q36000
95-th percentile11000
Maximum1243550000
Range1243550000
Interquartile range (IQR)6000

Descriptive statistics

Standard deviation3629319.494
Coefficient of variation (CV)64.50325627
Kurtosis81381.51106
Mean56265.67873
Median Absolute Deviation (MAD)1500
Skewness265.9184824
Sum1.576614957 × 1010
Variance1.317195999 × 1013
MonotonicityNot monotonic
2022-05-23T11:00:46.507473image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0103590
35.7%
150028805
 
9.9%
400012685
 
4.4%
55009997
 
3.4%
60009288
 
3.2%
75009107
 
3.1%
30008980
 
3.1%
80007998
 
2.8%
45007315
 
2.5%
70007262
 
2.5%
Other values (2342)75182
25.9%
(Missing)9993
 
3.4%
ValueCountFrequency (%)
0103590
35.7%
5005277
 
1.8%
10007104
 
2.4%
150028805
 
9.9%
20005117
 
1.8%
ValueCountFrequency (%)
12435500001
< 0.1%
10936500001
< 0.1%
4800000001
< 0.1%
4635470001
< 0.1%
3938560001
< 0.1%

m8_total_ads_watched
Real number (ℝ≥0)

MISSING
ZEROS

Distinct107
Distinct (%)< 0.1%
Missing9990
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean3.940127475
Minimum0
Maximum230
Zeros85238
Zeros (%)29.4%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:46.630145image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q36
95-th percentile13
Maximum230
Range230
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.070770277
Coefficient of variation (CV)1.286955894
Kurtosis69.41168966
Mean3.940127475
Median Absolute Deviation (MAD)3
Skewness4.377760905
Sum1104071
Variance25.7127112
MonotonicityNot monotonic
2022-05-23T11:00:46.749825image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
085238
29.4%
228569
 
9.8%
328548
 
9.8%
424361
 
8.4%
121794
 
7.5%
519187
 
6.6%
615179
 
5.2%
711753
 
4.0%
89139
 
3.1%
97130
 
2.5%
Other values (97)29314
 
10.1%
(Missing)9990
 
3.4%
ValueCountFrequency (%)
085238
29.4%
121794
 
7.5%
228569
 
9.8%
328548
 
9.8%
424361
 
8.4%
ValueCountFrequency (%)
2301
< 0.1%
2011
< 0.1%
1821
< 0.1%
1681
< 0.1%
1641
< 0.1%

m8_total_purchases_real
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct458
Distinct (%)0.2%
Missing10000
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean0.03123949865
Minimum0
Maximum96.69
Zeros277867
Zeros (%)95.7%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:46.869504image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum96.69
Range96.69
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7203635376
Coefficient of variation (CV)23.05938215
Kurtosis5346.183676
Mean0.03123949865
Median Absolute Deviation (MAD)0
Skewness59.82408446
Sum8753.37
Variance0.5189236263
MonotonicityNot monotonic
2022-05-23T11:00:46.986193image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0277867
95.7%
1.99373
 
0.1%
0.48200
 
0.1%
0.49146
 
0.1%
0.9996
 
< 0.1%
4.9892
 
< 0.1%
0.3775
 
< 0.1%
2.9947
 
< 0.1%
3.9941
 
< 0.1%
0.1141
 
< 0.1%
Other values (448)1224
 
0.4%
(Missing)10000
 
3.4%
ValueCountFrequency (%)
0277867
95.7%
0.1141
 
< 0.1%
0.131
 
< 0.1%
0.143
 
< 0.1%
0.2213
 
< 0.1%
ValueCountFrequency (%)
96.691
< 0.1%
92.531
< 0.1%
79.911
< 0.1%
73.941
< 0.1%
73.931
< 0.1%

m8_geo_country
Categorical

HIGH CARDINALITY
MISSING

Distinct220
Distinct (%)0.1%
Missing9620
Missing (%)3.3%
Memory size2.2 MiB
United States
47437 
Mexico
35551 
Brazil
 
13733
France
 
11656
Russia
 
11191
Other values (215)
161014 

Unique

Unique16 ?
Unique (%)< 0.1%

Sample

1st rowHonduras
2nd rowBelgium
3rd rowVietnam
4th rowTaiwan
5th rowBangladesh

Common Values

ValueCountFrequency (%)
United States47437
16.3%
Mexico35551
 
12.3%
Brazil13733
 
4.7%
France11656
 
4.0%
Russia11191
 
3.9%
India9865
 
3.4%
Germany9607
 
3.3%
United Kingdom8753
 
3.0%
Turkey8660
 
3.0%
Colombia7086
 
2.4%
Other values (210)117043
40.3%
(Missing)9620
 
3.3%

m8_days_played_in_month
Real number (ℝ)

MISSING
SKEWED
ZEROS

Distinct24
Distinct (%)< 0.1%
Missing9988
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean571.6900012
Minimum-1
Maximum9999999
Zeros154675
Zeros (%)53.3%
Negative930
Negative (%)0.3%
Memory size2.2 MiB
2022-05-23T11:00:47.180179image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum9999999
Range10000000
Interquartile range (IQR)1

Descriptive statistics

Standard deviation75561.98852
Coefficient of variation (CV)132.1730105
Kurtosis17508.68749
Mean571.6900012
Median Absolute Deviation (MAD)0
Skewness132.3274821
Sum160195542
Variance5709614109
MonotonicityNot monotonic
2022-05-23T11:00:47.276921image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0154675
53.3%
181277
28.0%
226719
 
9.2%
39919
 
3.4%
43870
 
1.3%
51570
 
0.5%
-1930
 
0.3%
6648
 
0.2%
7295
 
0.1%
8156
 
0.1%
Other values (14)155
 
0.1%
(Missing)9988
 
3.4%
ValueCountFrequency (%)
-1930
 
0.3%
0154675
53.3%
181277
28.0%
226719
 
9.2%
39919
 
3.4%
ValueCountFrequency (%)
999999916
< 0.1%
221
 
< 0.1%
201
 
< 0.1%
191
 
< 0.1%
181
 
< 0.1%

m8_virtual_currency_balance
Real number (ℝ≥0)

MISSING
SKEWED

Distinct20351
Distinct (%)7.3%
Missing9986
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean516968.9238
Minimum0
Maximum2146000000
Zeros31
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:47.387625image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile422
Q13059
median6990
Q38750
95-th percentile12244
Maximum2146000000
Range2146000000
Interquartile range (IQR)5691

Descriptive statistics

Standard deviation22494395.24
Coefficient of variation (CV)43.51208401
Kurtosis3718.002159
Mean516968.9238
Median Absolute Deviation (MAD)2566
Skewness57.85087579
Sum1.44862964 × 1011
Variance5.059978174 × 1014
MonotonicityNot monotonic
2022-05-23T11:00:47.503315image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99614700121
 
< 0.1%
748468
 
< 0.1%
792164
 
< 0.1%
751664
 
< 0.1%
795063
 
< 0.1%
770362
 
< 0.1%
784462
 
< 0.1%
787462
 
< 0.1%
802261
 
< 0.1%
764161
 
< 0.1%
Other values (20341)279528
96.3%
(Missing)9986
 
3.4%
ValueCountFrequency (%)
031
< 0.1%
129
< 0.1%
222
< 0.1%
324
< 0.1%
423
< 0.1%
ValueCountFrequency (%)
21460000001
< 0.1%
20947509781
< 0.1%
20941028821
< 0.1%
20000000001
< 0.1%
19961400001
< 0.1%

m8_event_timestamp_1
Categorical

HIGH CARDINALITY
MISSING

Distinct281076
Distinct (%)> 99.9%
Missing9107
Missing (%)3.1%
Memory size2.2 MiB
2022-02-25 23:13:04.132 UTC
 
2
2022-02-22 21:27:40.712 UTC
 
2
2022-02-20 19:15:59.314 UTC
 
2
2022-02-27 18:18:28.43 UTC
 
2
2022-02-08 14:12:42.064 UTC
 
2
Other values (281071)
281085 

Unique

Unique281057 ?
Unique (%)> 99.9%

Sample

1st row2022-03-14 02:01:13.236 UTC
2nd row2022-02-04 21:24:52.568 UTC
3rd row2022-02-19 04:39:52.859 UTC
4th row2022-02-25 09:14:40.943 UTC
5th row2022-02-15 15:04:46.376 UTC

Common Values

ValueCountFrequency (%)
2022-02-25 23:13:04.132 UTC2
 
< 0.1%
2022-02-22 21:27:40.712 UTC2
 
< 0.1%
2022-02-20 19:15:59.314 UTC2
 
< 0.1%
2022-02-27 18:18:28.43 UTC2
 
< 0.1%
2022-02-08 14:12:42.064 UTC2
 
< 0.1%
2022-02-11 11:50:23.685 UTC2
 
< 0.1%
2022-02-04 17:01:53.509 UTC2
 
< 0.1%
2022-03-02 15:05:29.103 UTC2
 
< 0.1%
2022-02-14 22:54:12.746 UTC2
 
< 0.1%
2022-02-06 00:04:28.573 UTC2
 
< 0.1%
Other values (281066)281075
96.9%
(Missing)9107
 
3.1%

m9_mission_completed
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing6003
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean11
Minimum11
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:47.618008image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile11
Q111
median11
Q311
95-th percentile11
Maximum11
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean11
Median Absolute Deviation (MAD)0
Skewness0
Sum3126189
Variance0
MonotonicityIncreasing
2022-05-23T11:00:47.689817image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
11284199
97.9%
(Missing)6003
 
2.1%
ValueCountFrequency (%)
11284199
97.9%
ValueCountFrequency (%)
11284199
97.9%

m9_mission_id
Categorical

HIGH CARDINALITY
MISSING

Distinct157
Distinct (%)0.1%
Missing6003
Missing (%)2.1%
Memory size2.2 MiB
Mission86
107546 
Mission6
49855 
Mission12
49805 
Mission19
36882 
Mission10
21763 
Other values (152)
18348 

Unique

Unique74 ?
Unique (%)< 0.1%

Sample

1st rowMission86
2nd rowMission19
3rd rowMission12
4th rowMission86
5th rowMission12

Common Values

ValueCountFrequency (%)
Mission86107546
37.1%
Mission649855
17.2%
Mission1249805
17.2%
Mission1936882
 
12.7%
Mission1021763
 
7.5%
Mission11411595
 
4.0%
Mission33598
 
1.2%
Mission111764
 
0.6%
Mission109264
 
0.1%
Mission66209
 
0.1%
Other values (147)918
 
0.3%
(Missing)6003
 
2.1%

m9_mission_difficulty
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing6003
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean1.689186098
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:47.766119image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4628960034
Coefficient of variation (CV)0.2740349354
Kurtosis-1.330463131
Mean1.689186098
Median Absolute Deviation (MAD)0
Skewness-0.8165708825
Sum480065
Variance0.21427271
MonotonicityNot monotonic
2022-05-23T11:00:47.843925image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2195848
67.5%
188342
30.4%
39
 
< 0.1%
(Missing)6003
 
2.1%
ValueCountFrequency (%)
188342
30.4%
2195848
67.5%
39
 
< 0.1%
ValueCountFrequency (%)
39
 
< 0.1%
2195848
67.5%
188342
30.4%

m9_mission_stars_collected
Real number (ℝ≥0)

MISSING
SKEWED

Distinct39
Distinct (%)< 0.1%
Missing6003
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean12.1372489
Minimum0
Maximum1769
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:47.944656image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q112
median12
Q313
95-th percentile13
Maximum1769
Range1769
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.499333887
Coefficient of variation (CV)0.2883135969
Kurtosis223681.6886
Mean12.1372489
Median Absolute Deviation (MAD)1
Skewness447.0676165
Sum3449394
Variance12.24533765
MonotonicityNot monotonic
2022-05-23T11:00:48.045387image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
12108855
37.5%
13104543
36.0%
1140989
 
14.1%
1019974
 
6.9%
146555
 
2.3%
91695
 
0.6%
151045
 
0.4%
16248
 
0.1%
17110
 
< 0.1%
856
 
< 0.1%
Other values (29)129
 
< 0.1%
(Missing)6003
 
2.1%
ValueCountFrequency (%)
02
< 0.1%
21
< 0.1%
32
< 0.1%
41
< 0.1%
51
< 0.1%
ValueCountFrequency (%)
17691
< 0.1%
2771
< 0.1%
1172
< 0.1%
961
< 0.1%
681
< 0.1%

m9_day_auto_increment
Real number (ℝ)

MISSING
SKEWED
ZEROS

Distinct47
Distinct (%)< 0.1%
Missing6005
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean1795.796015
Minimum-1
Maximum10000001
Zeros118514
Zeros (%)40.8%
Negative977
Negative (%)0.3%
Memory size2.2 MiB
2022-05-23T11:00:48.163072image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median1
Q32
95-th percentile5
Maximum10000001
Range10000002
Interquartile range (IQR)2

Descriptive statistics

Standard deviation133948.2505
Coefficient of variation (CV)74.58990296
Kurtosis5567.588347
Mean1795.796015
Median Absolute Deviation (MAD)1
Skewness74.6294122
Sum510359840
Variance1.794213381 × 1010
MonotonicityNot monotonic
2022-05-23T11:00:48.280757image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0118514
40.8%
182486
28.4%
237345
 
12.9%
319220
 
6.6%
410337
 
3.6%
56047
 
2.1%
63430
 
1.2%
72014
 
0.7%
81237
 
0.4%
-1977
 
0.3%
Other values (37)2590
 
0.9%
(Missing)6005
 
2.1%
ValueCountFrequency (%)
-1977
 
0.3%
0118514
40.8%
182486
28.4%
237345
 
12.9%
319220
 
6.6%
ValueCountFrequency (%)
100000011
 
< 0.1%
100000007
 
< 0.1%
999999943
< 0.1%
1091
 
< 0.1%
621
 
< 0.1%

m9_lifetime_played_runs
Real number (ℝ≥0)

MISSING

Distinct206
Distinct (%)0.1%
Missing6900
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean11.47989778
Minimum0
Maximum454
Zeros163
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:48.400437image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q16
median9
Q314
95-th percentile27
Maximum454
Range454
Interquartile range (IQR)8

Descriptive statistics

Standard deviation9.499458579
Coefficient of variation (CV)0.8274863386
Kurtosis122.678536
Mean11.47989778
Median Absolute Deviation (MAD)3
Skewness6.496672063
Sum3252278
Variance90.2397133
MonotonicityNot monotonic
2022-05-23T11:00:48.511646image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
629038
 
10.0%
728201
 
9.7%
825170
 
8.7%
524711
 
8.5%
921368
 
7.4%
1018156
 
6.3%
1115096
 
5.2%
414350
 
4.9%
1212831
 
4.4%
1310728
 
3.7%
Other values (196)83653
28.8%
ValueCountFrequency (%)
0163
 
0.1%
1377
 
0.1%
25091
 
1.8%
34830
 
1.7%
414350
4.9%
ValueCountFrequency (%)
4541
< 0.1%
4031
< 0.1%
3871
< 0.1%
3841
< 0.1%
3631
< 0.1%

m9_max_run_distance
Real number (ℝ≥0)

MISSING

Distinct8441
Distinct (%)3.0%
Missing6901
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean3159.500609
Minimum0
Maximum57880
Zeros163
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:48.632323image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1672
Q12315
median2892
Q33717
95-th percentile5489
Maximum57880
Range57880
Interquartile range (IQR)1402

Descriptive statistics

Standard deviation1268.508629
Coefficient of variation (CV)0.401490231
Kurtosis20.60441209
Mean3159.500609
Median Absolute Deviation (MAD)663
Skewness2.139955719
Sum895089682
Variance1609114.143
MonotonicityNot monotonic
2022-05-23T11:00:48.741033image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2384166
 
0.1%
0163
 
0.1%
2653161
 
0.1%
2440158
 
0.1%
2489155
 
0.1%
2344154
 
0.1%
2369152
 
0.1%
2317151
 
0.1%
2629150
 
0.1%
2306150
 
0.1%
Other values (8431)281741
97.1%
(Missing)6901
 
2.4%
ValueCountFrequency (%)
0163
0.1%
1031
 
< 0.1%
1141
 
< 0.1%
1231
 
< 0.1%
1241
 
< 0.1%
ValueCountFrequency (%)
578801
< 0.1%
273421
< 0.1%
264521
< 0.1%
246481
< 0.1%
223711
< 0.1%

m9_total_purchases_virtual
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct2411
Distinct (%)0.9%
Missing6907
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean58778.63491
Minimum0
Maximum1245420000
Zeros93916
Zeros (%)32.4%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:48.856724image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2500
Q37500
95-th percentile14500
Maximum1245420000
Range1245420000
Interquartile range (IQR)7500

Descriptive statistics

Standard deviation3703293.026
Coefficient of variation (CV)63.00406656
Kurtosis75191.8921
Mean58778.63491
Median Absolute Deviation (MAD)2500
Skewness253.8750147
Sum1.665169338 × 1010
Variance1.371437924 × 1013
MonotonicityNot monotonic
2022-05-23T11:00:49.070153image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
093916
32.4%
150026641
 
9.2%
400011930
 
4.1%
55009103
 
3.1%
75008827
 
3.0%
60008649
 
3.0%
30008450
 
2.9%
80008410
 
2.9%
90007725
 
2.7%
45006842
 
2.4%
Other values (2401)92802
32.0%
(Missing)6907
 
2.4%
ValueCountFrequency (%)
093916
32.4%
5004688
 
1.6%
10006688
 
2.3%
150026641
 
9.2%
20004759
 
1.6%
ValueCountFrequency (%)
12454200001
< 0.1%
10936500001
< 0.1%
4800000001
< 0.1%
4635470001
< 0.1%
4345260001
< 0.1%

m9_total_ads_watched
Real number (ℝ≥0)

MISSING
ZEROS

Distinct118
Distinct (%)< 0.1%
Missing6903
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean5.06795647
Minimum0
Maximum235
Zeros82694
Zeros (%)28.5%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:49.186841image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q37
95-th percentile17
Maximum235
Range235
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.53949883
Coefficient of variation (CV)1.290362076
Kurtosis38.60651724
Mean5.06795647
Median Absolute Deviation (MAD)3
Skewness3.635488227
Sum1435747
Variance42.76504494
MonotonicityNot monotonic
2022-05-23T11:00:49.302038image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
082694
28.5%
324663
 
8.5%
422828
 
7.9%
221508
 
7.4%
519374
 
6.7%
116983
 
5.9%
615922
 
5.5%
713120
 
4.5%
810571
 
3.6%
98600
 
3.0%
Other values (108)47036
16.2%
ValueCountFrequency (%)
082694
28.5%
116983
 
5.9%
221508
 
7.4%
324663
 
8.5%
422828
 
7.9%
ValueCountFrequency (%)
2351
< 0.1%
2281
< 0.1%
2021
< 0.1%
1721
< 0.1%
1671
< 0.1%

m9_total_purchases_real
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct495
Distinct (%)0.2%
Missing6913
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean0.03475087278
Minimum0
Maximum96.69
Zeros280577
Zeros (%)96.7%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:49.417744image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum96.69
Range96.69
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.746069545
Coefficient of variation (CV)21.46908797
Kurtosis4814.114173
Mean0.03475087278
Median Absolute Deviation (MAD)0
Skewness56.55787071
Sum9844.54
Variance0.5566197659
MonotonicityNot monotonic
2022-05-23T11:00:49.531440image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0280577
96.7%
1.99440
 
0.2%
0.48224
 
0.1%
0.49163
 
0.1%
0.99133
 
< 0.1%
4.98109
 
< 0.1%
0.3785
 
< 0.1%
2.9951
 
< 0.1%
0.1149
 
< 0.1%
0.3845
 
< 0.1%
Other values (485)1413
 
0.5%
(Missing)6913
 
2.4%
ValueCountFrequency (%)
0280577
96.7%
0.1149
 
< 0.1%
0.131
 
< 0.1%
0.143
 
< 0.1%
0.2213
 
< 0.1%
ValueCountFrequency (%)
96.691
< 0.1%
92.531
< 0.1%
79.911
< 0.1%
73.941
< 0.1%
73.931
< 0.1%

m9_geo_country
Categorical

HIGH CARDINALITY
MISSING

Distinct220
Distinct (%)0.1%
Missing6624
Missing (%)2.3%
Memory size2.2 MiB
United States
48054 
Mexico
35836 
Brazil
 
13839
France
 
11758
Russia
 
11288
Other values (215)
162803 

Unique

Unique14 ?
Unique (%)< 0.1%

Sample

1st rowHonduras
2nd rowBelgium
3rd rowVietnam
4th rowTaiwan
5th rowBangladesh

Common Values

ValueCountFrequency (%)
United States48054
16.6%
Mexico35836
 
12.3%
Brazil13839
 
4.8%
France11758
 
4.1%
Russia11288
 
3.9%
India9923
 
3.4%
Germany9757
 
3.4%
United Kingdom8896
 
3.1%
Turkey8750
 
3.0%
Colombia7144
 
2.5%
Other values (210)118333
40.8%

m9_days_played_in_month
Real number (ℝ)

MISSING
SKEWED
ZEROS

Distinct25
Distinct (%)< 0.1%
Missing6902
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean565.6290611
Minimum-1
Maximum9999999
Zeros140325
Zeros (%)48.4%
Negative1014
Negative (%)0.3%
Memory size2.2 MiB
2022-05-23T11:00:49.636160image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median1
Q31
95-th percentile3
Maximum9999999
Range10000000
Interquartile range (IQR)1

Descriptive statistics

Standard deviation75149.33222
Coefficient of variation (CV)132.8597439
Kurtosis17701.56248
Mean565.6290611
Median Absolute Deviation (MAD)1
Skewness133.0542653
Sum160242713
Variance5647422132
MonotonicityNot monotonic
2022-05-23T11:00:49.731904image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0140325
48.4%
185282
29.4%
232372
 
11.2%
313397
 
4.6%
45829
 
2.0%
52680
 
0.9%
61253
 
0.4%
-11014
 
0.3%
7525
 
0.2%
8298
 
0.1%
Other values (15)325
 
0.1%
(Missing)6902
 
2.4%
ValueCountFrequency (%)
-11014
 
0.3%
0140325
48.4%
185282
29.4%
232372
 
11.2%
313397
 
4.6%
ValueCountFrequency (%)
999999916
< 0.1%
241
 
< 0.1%
221
 
< 0.1%
201
 
< 0.1%
194
 
< 0.1%

m9_virtual_currency_balance
Real number (ℝ≥0)

MISSING
SKEWED

Distinct22539
Distinct (%)8.0%
Missing6900
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean526127.7774
Minimum0
Maximum2146000000
Zeros23
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:49.841610image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile378
Q12676
median7116
Q39300
95-th percentile13712
Maximum2146000000
Range2146000000
Interquartile range (IQR)6624

Descriptive statistics

Standard deviation22641697.96
Coefficient of variation (CV)43.03459907
Kurtosis3625.795438
Mean526127.7774
Median Absolute Deviation (MAD)3123
Skewness57.10313797
Sum1.490530516 × 1011
Variance5.126464866 × 1014
MonotonicityNot monotonic
2022-05-23T11:00:49.951822image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99614700122
 
< 0.1%
47170
 
< 0.1%
40169
 
< 0.1%
47467
 
< 0.1%
48366
 
< 0.1%
44364
 
< 0.1%
49963
 
< 0.1%
46962
 
< 0.1%
41662
 
< 0.1%
39860
 
< 0.1%
Other values (22529)282597
97.4%
(Missing)6900
 
2.4%
ValueCountFrequency (%)
023
< 0.1%
129
< 0.1%
230
< 0.1%
319
< 0.1%
431
< 0.1%
ValueCountFrequency (%)
21460000001
< 0.1%
20947504781
< 0.1%
20941023821
< 0.1%
19999900001
< 0.1%
19961400001
< 0.1%

m9_event_timestamp
Categorical

HIGH CARDINALITY
MISSING

Distinct284181
Distinct (%)> 99.9%
Missing6003
Missing (%)2.1%
Memory size2.2 MiB
2022-02-11 11:50:27.89 UTC
 
2
2022-02-08 16:25:18.637 UTC
 
2
2022-02-05 18:55:45.186 UTC
 
2
2022-02-26 18:09:41.963 UTC
 
2
2022-02-23 11:02:08.635 UTC
 
2
Other values (284176)
284189 

Unique

Unique284163 ?
Unique (%)> 99.9%

Sample

1st row2022-03-14 02:03:20.305 UTC
2nd row2022-02-04 21:25:05.659 UTC
3rd row2022-02-20 03:44:26.355 UTC
4th row2022-02-25 09:16:37.834 UTC
5th row2022-02-15 17:08:28.601 UTC

Common Values

ValueCountFrequency (%)
2022-02-11 11:50:27.89 UTC2
 
< 0.1%
2022-02-08 16:25:18.637 UTC2
 
< 0.1%
2022-02-05 18:55:45.186 UTC2
 
< 0.1%
2022-02-26 18:09:41.963 UTC2
 
< 0.1%
2022-02-23 11:02:08.635 UTC2
 
< 0.1%
2022-02-03 05:26:32.919 UTC2
 
< 0.1%
2022-02-16 14:48:55.453 UTC2
 
< 0.1%
2022-02-07 23:24:15.767 UTC2
 
< 0.1%
2022-02-28 09:31:21.692 UTC2
 
< 0.1%
2022-02-13 13:12:04.29 UTC2
 
< 0.1%
Other values (284171)284179
97.9%
(Missing)6003
 
2.1%

m10_mission_completed
Real number (ℝ≥0)

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12
Minimum12
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:50.062526image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile12
Q112
median12
Q312
95-th percentile12
Maximum12
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean12
Median Absolute Deviation (MAD)0
Skewness0
Sum3482424
Variance0
MonotonicityIncreasing
2022-05-23T11:00:50.134334image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
12290202
100.0%
ValueCountFrequency (%)
12290202
100.0%
ValueCountFrequency (%)
12290202
100.0%

m10_mission_id
Categorical

HIGH CARDINALITY

Distinct184
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.2 MiB
Mission12
87103 
Mission10
62860 
Mission6
39974 
Mission66
35299 
Mission86
27526 
Other values (179)
37440 

Unique

Unique77 ?
Unique (%)< 0.1%

Sample

1st rowMission12
2nd rowMission86
3rd rowMission114
4th rowMission10
5th rowMission6

Common Values

ValueCountFrequency (%)
Mission1287103
30.0%
Mission1062860
21.7%
Mission639974
13.8%
Mission6635299
12.2%
Mission8627526
 
9.5%
Mission1923954
 
8.3%
Mission1147138
 
2.5%
Mission33278
 
1.1%
Mission111063
 
0.4%
Mission7904
 
0.3%
Other values (174)1103
 
0.4%

m10_mission_difficulty
Real number (ℝ≥0)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.486412912
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:50.212126image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4999196221
Coefficient of variation (CV)0.3363262105
Kurtosis-1.9936128
Mean1.486412912
Median Absolute Deviation (MAD)0
Skewness0.05560983201
Sum431360
Variance0.2499196285
MonotonicityNot monotonic
2022-05-23T11:00:50.290915image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1149059
51.4%
2141128
48.6%
315
 
< 0.1%
ValueCountFrequency (%)
1149059
51.4%
2141128
48.6%
315
 
< 0.1%
ValueCountFrequency (%)
315
 
< 0.1%
2141128
48.6%
1149059
51.4%

m10_mission_stars_collected
Real number (ℝ≥0)

SKEWED

Distinct38
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.98637156
Minimum2
Maximum1772
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:50.393641image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile12
Q114
median14
Q314
95-th percentile15
Maximum1772
Range1770
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.444662085
Coefficient of variation (CV)0.2462870423
Kurtosis233909.6648
Mean13.98637156
Median Absolute Deviation (MAD)0
Skewness459.9123883
Sum4058873
Variance11.86569688
MonotonicityNot monotonic
2022-05-23T11:00:50.495369image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
14184085
63.4%
1558969
 
20.3%
1319352
 
6.7%
1217385
 
6.0%
115443
 
1.9%
162913
 
1.0%
10980
 
0.3%
17696
 
0.2%
18150
 
0.1%
1956
 
< 0.1%
Other values (28)173
 
0.1%
ValueCountFrequency (%)
21
 
< 0.1%
32
 
< 0.1%
42
 
< 0.1%
63
 
< 0.1%
714
< 0.1%
ValueCountFrequency (%)
17721
< 0.1%
2801
< 0.1%
1181
< 0.1%
1171
< 0.1%
961
< 0.1%

m10_day_auto_increment
Real number (ℝ)

SKEWED
ZEROS

Distinct55
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1862.601914
Minimum-1
Maximum10000001
Zeros94600
Zeros (%)32.6%
Negative1084
Negative (%)0.4%
Memory size2.2 MiB
2022-05-23T11:00:50.612057image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median1
Q32
95-th percentile6
Maximum10000001
Range10000002
Interquartile range (IQR)2

Descriptive statistics

Standard deviation136397.89
Coefficient of variation (CV)73.2297594
Kurtosis5369.185303
Mean1862.601914
Median Absolute Deviation (MAD)1
Skewness73.2881184
Sum540528938
Variance1.86043844 × 1010
MonotonicityNot monotonic
2022-05-23T11:00:50.733731image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
094600
32.6%
180031
27.6%
242822
14.8%
325139
 
8.7%
415620
 
5.4%
510171
 
3.5%
66514
 
2.2%
74330
 
1.5%
82894
 
1.0%
91994
 
0.7%
Other values (45)6086
 
2.1%
ValueCountFrequency (%)
-11084
 
0.4%
094600
32.6%
180031
27.6%
242822
14.8%
325139
 
8.7%
ValueCountFrequency (%)
100000012
 
< 0.1%
100000007
 
< 0.1%
999999945
< 0.1%
1091
 
< 0.1%
651
 
< 0.1%

m10_lifetime_played_runs
Real number (ℝ≥0)

Distinct242
Distinct (%)0.1%
Missing940
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean15.84257179
Minimum0
Maximum632
Zeros196
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:50.938197image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q18
median13
Q320
95-th percentile37
Maximum632
Range632
Interquartile range (IQR)12

Descriptive statistics

Standard deviation12.77525316
Coefficient of variation (CV)0.8063875825
Kurtosis74.64472792
Mean15.84257179
Median Absolute Deviation (MAD)5
Skewness4.93376733
Sum4582654
Variance163.2070934
MonotonicityNot monotonic
2022-05-23T11:00:51.047904image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
819407
 
6.7%
718702
 
6.4%
918449
 
6.4%
1017553
 
6.0%
1115708
 
5.4%
615594
 
5.4%
1214682
 
5.1%
1313305
 
4.6%
1412304
 
4.2%
1511075
 
3.8%
Other values (232)132483
45.7%
ValueCountFrequency (%)
0196
 
0.1%
1388
 
0.1%
24452
1.5%
33960
1.4%
44662
1.6%
ValueCountFrequency (%)
6321
< 0.1%
4541
< 0.1%
4081
< 0.1%
4061
< 0.1%
3891
< 0.1%

m10_max_run_distance
Real number (ℝ≥0)

Distinct9051
Distinct (%)3.1%
Missing941
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean3369.438334
Minimum0
Maximum57880
Zeros196
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:51.164592image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1789
Q12462
median3087
Q33963
95-th percentile5885
Maximum57880
Range57880
Interquartile range (IQR)1501

Descriptive statistics

Standard deviation1357.10294
Coefficient of variation (CV)0.4027682971
Kurtosis16.88191894
Mean3369.438334
Median Absolute Deviation (MAD)713
Skewness2.035860869
Sum974647102
Variance1841728.39
MonotonicityNot monotonic
2022-05-23T11:00:51.279285image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0196
 
0.1%
2653149
 
0.1%
2384146
 
0.1%
2790146
 
0.1%
2675145
 
< 0.1%
2644144
 
< 0.1%
2629143
 
< 0.1%
2672143
 
< 0.1%
2540142
 
< 0.1%
2656142
 
< 0.1%
Other values (9041)287765
99.2%
(Missing)941
 
0.3%
ValueCountFrequency (%)
0196
0.1%
1021
 
< 0.1%
1031
 
< 0.1%
1121
 
< 0.1%
1191
 
< 0.1%
ValueCountFrequency (%)
578801
< 0.1%
288911
< 0.1%
284631
< 0.1%
273421
< 0.1%
264521
< 0.1%

m10_total_purchases_virtual
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct2647
Distinct (%)0.9%
Missing945
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean62448.06566
Minimum0
Maximum1245420000
Zeros77704
Zeros (%)26.8%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:51.396971image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4500
Q310500
95-th percentile20500
Maximum1245420000
Range1245420000
Interquartile range (IQR)10500

Descriptive statistics

Standard deviation3667774.164
Coefficient of variation (CV)58.73319094
Kurtosis76535.39253
Mean62448.06566
Median Absolute Deviation (MAD)4500
Skewness255.9361843
Sum1.806354013 × 1010
Variance1.345256732 × 1013
MonotonicityNot monotonic
2022-05-23T11:00:51.521144image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
077704
26.8%
150022288
 
7.7%
400010400
 
3.6%
100008617
 
3.0%
90008007
 
2.8%
55007540
 
2.6%
80007538
 
2.6%
60007418
 
2.6%
30007369
 
2.5%
75007082
 
2.4%
Other values (2637)125294
43.2%
ValueCountFrequency (%)
077704
26.8%
5003793
 
1.3%
10005981
 
2.1%
150022288
 
7.7%
20004019
 
1.4%
ValueCountFrequency (%)
12454200001
< 0.1%
10936500001
< 0.1%
4800000001
< 0.1%
4635470001
< 0.1%
4345260001
< 0.1%

m10_total_ads_watched
Real number (ℝ≥0)

ZEROS

Distinct161
Distinct (%)0.1%
Missing942
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean7.248347507
Minimum0
Maximum239
Zeros79406
Zeros (%)27.4%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:51.643323image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q310
95-th percentile25
Maximum239
Range239
Interquartile range (IQR)10

Descriptive statistics

Standard deviation9.834051944
Coefficient of variation (CV)1.356730197
Kurtosis23.96244219
Mean7.248347507
Median Absolute Deviation (MAD)4
Skewness3.42233104
Sum2096657
Variance96.70857764
MonotonicityNot monotonic
2022-05-23T11:00:51.762510image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
079406
27.4%
418300
 
6.3%
317924
 
6.2%
517350
 
6.0%
215726
 
5.4%
115473
 
5.3%
615042
 
5.2%
713175
 
4.5%
811320
 
3.9%
99730
 
3.4%
Other values (151)75814
26.1%
ValueCountFrequency (%)
079406
27.4%
115473
 
5.3%
215726
 
5.4%
317924
 
6.2%
418300
 
6.3%
ValueCountFrequency (%)
2391
< 0.1%
2301
< 0.1%
2051
< 0.1%
1951
< 0.1%
1901
< 0.1%

m10_total_purchases_real
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct565
Distinct (%)0.2%
Missing949
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean0.04151759878
Minimum0
Maximum133.93
Zeros286034
Zeros (%)98.6%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:51.878704image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum133.93
Range133.93
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.849605554
Coefficient of variation (CV)20.46374499
Kurtosis5592.587987
Mean0.04151759878
Median Absolute Deviation (MAD)0
Skewness59.05094756
Sum12009.09
Variance0.7218295974
MonotonicityNot monotonic
2022-05-23T11:00:51.998384image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0286034
98.6%
1.99508
 
0.2%
0.48254
 
0.1%
0.49182
 
0.1%
0.99175
 
0.1%
4.98127
 
< 0.1%
0.3790
 
< 0.1%
2.9957
 
< 0.1%
0.1153
 
< 0.1%
0.3845
 
< 0.1%
Other values (555)1728
 
0.6%
(Missing)949
 
0.3%
ValueCountFrequency (%)
0286034
98.6%
0.1153
 
< 0.1%
0.132
 
< 0.1%
0.145
 
< 0.1%
0.2214
 
< 0.1%
ValueCountFrequency (%)
133.931
< 0.1%
98.881
< 0.1%
96.691
< 0.1%
92.531
< 0.1%
79.911
< 0.1%

m10_geo_country
Categorical

HIGH CARDINALITY

Distinct220
Distinct (%)0.1%
Missing964
Missing (%)0.3%
Memory size2.2 MiB
United States
49312 
Mexico
36411 
Brazil
 
14057
France
 
11974
Russia
 
11473
Other values (215)
166011 

Unique

Unique15 ?
Unique (%)< 0.1%

Sample

1st rowHonduras
2nd rowBelgium
3rd rowVietnam
4th rowTaiwan
5th rowBangladesh

Common Values

ValueCountFrequency (%)
United States49312
17.0%
Mexico36411
 
12.5%
Brazil14057
 
4.8%
France11974
 
4.1%
Russia11473
 
4.0%
India10028
 
3.5%
Germany9970
 
3.4%
United Kingdom9131
 
3.1%
Turkey8919
 
3.1%
Colombia7234
 
2.5%
Other values (210)120729
41.6%

m10_days_played_in_month
Real number (ℝ)

SKEWED
ZEROS

Distinct27
Distinct (%)< 0.1%
Missing941
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean588.8525484
Minimum-1
Maximum9999999
Zeros120598
Zeros (%)41.6%
Negative1121
Negative (%)0.4%
Memory size2.2 MiB
2022-05-23T11:00:52.113078image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum9999999
Range10000000
Interquartile range (IQR)2

Descriptive statistics

Standard deviation76659.75277
Coefficient of variation (CV)130.1849724
Kurtosis17010.64704
Mean588.8525484
Median Absolute Deviation (MAD)1
Skewness130.4320874
Sum170332077
Variance5876717695
MonotonicityNot monotonic
2022-05-23T11:00:52.213808image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0120598
41.6%
186994
30.0%
240052
 
13.8%
319525
 
6.7%
49929
 
3.4%
55267
 
1.8%
62673
 
0.9%
71408
 
0.5%
-11121
 
0.4%
8715
 
0.2%
Other values (17)979
 
0.3%
(Missing)941
 
0.3%
ValueCountFrequency (%)
-11121
 
0.4%
0120598
41.6%
186994
30.0%
240052
 
13.8%
319525
 
6.7%
ValueCountFrequency (%)
999999917
< 0.1%
251
 
< 0.1%
232
 
< 0.1%
222
 
< 0.1%
211
 
< 0.1%

m10_virtual_currency_balance
Real number (ℝ≥0)

SKEWED

Distinct26343
Distinct (%)9.1%
Missing940
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean531300.5006
Minimum0
Maximum2146000000
Zeros33
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:52.332491image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile392
Q12538
median7124
Q310508
95-th percentile16465.9
Maximum2146000000
Range2146000000
Interquartile range (IQR)7970

Descriptive statistics

Standard deviation22733591.82
Coefficient of variation (CV)42.78857594
Kurtosis3561.37168
Mean531300.5006
Median Absolute Deviation (MAD)4001
Skewness56.61148308
Sum1.536850454 × 1011
Variance5.168161968 × 1014
MonotonicityNot monotonic
2022-05-23T11:00:52.447184image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99614700119
 
< 0.1%
42571
 
< 0.1%
49568
 
< 0.1%
40868
 
< 0.1%
47566
 
< 0.1%
47365
 
< 0.1%
49965
 
< 0.1%
37663
 
< 0.1%
48362
 
< 0.1%
36661
 
< 0.1%
Other values (26333)288554
99.4%
(Missing)940
 
0.3%
ValueCountFrequency (%)
033
< 0.1%
116
< 0.1%
234
< 0.1%
325
< 0.1%
425
< 0.1%
ValueCountFrequency (%)
21460000001
< 0.1%
20947502781
< 0.1%
20941018821
< 0.1%
20000000001
< 0.1%
19961400001
< 0.1%

m10_event_timestamp
Categorical

HIGH CARDINALITY

Distinct290184
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Memory size2.2 MiB
2022-02-12 14:57:45.443 UTC
 
2
2022-02-07 21:32:23.001 UTC
 
2
2022-02-05 16:57:04.037 UTC
 
2
2022-02-26 06:09:33.514 UTC
 
2
2022-02-19 13:28:13.917 UTC
 
2
Other values (290179)
290192 

Unique

Unique290166 ?
Unique (%)> 99.9%

Sample

1st row2022-03-14 02:05:01.562 UTC
2nd row2022-02-04 21:26:53.862 UTC
3rd row2022-02-20 03:50:41.292 UTC
4th row2022-03-02 09:22:12.536 UTC
5th row2022-02-15 17:16:44.864 UTC

Common Values

ValueCountFrequency (%)
2022-02-12 14:57:45.443 UTC2
 
< 0.1%
2022-02-07 21:32:23.001 UTC2
 
< 0.1%
2022-02-05 16:57:04.037 UTC2
 
< 0.1%
2022-02-26 06:09:33.514 UTC2
 
< 0.1%
2022-02-19 13:28:13.917 UTC2
 
< 0.1%
2022-02-26 07:17:21.943 UTC2
 
< 0.1%
2022-02-14 01:37:47.616 UTC2
 
< 0.1%
2022-02-18 20:28:07.442 UTC2
 
< 0.1%
2022-02-11 11:50:37.468 UTC2
 
< 0.1%
2022-02-11 15:56:09.066 UTC2
 
< 0.1%
Other values (290174)290182
> 99.9%

target_max_day_played
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct123
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2005.166574
Minimum0
Maximum10000005
Zeros23409
Zeros (%)8.1%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2022-05-23T11:00:52.670602image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q38
95-th percentile21
Maximum10000005
Range10000005
Interquartile range (IQR)6

Descriptive statistics

Standard deviation141358.1479
Coefficient of variation (CV)70.49696007
Kurtosis4998.569068
Mean2005.166574
Median Absolute Deviation (MAD)3
Skewness70.71445823
Sum581903350
Variance1.998212597 × 1010
MonotonicityNot monotonic
2022-05-23T11:00:52.796265image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
136196
12.5%
235972
12.4%
331532
10.9%
426356
9.1%
023409
 
8.1%
521898
 
7.5%
618121
 
6.2%
714678
 
5.1%
812177
 
4.2%
910122
 
3.5%
Other values (113)59741
20.6%
ValueCountFrequency (%)
023409
8.1%
136196
12.5%
235972
12.4%
331532
10.9%
426356
9.1%
ValueCountFrequency (%)
100000051
 
< 0.1%
100000041
 
< 0.1%
100000016
 
< 0.1%
1000000021
< 0.1%
999999929
< 0.1%